diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.de-de.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.de-de.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.de-de.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-asia.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-asia.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-au.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-au.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-au.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ca.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ca.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-gb.md index 68200dd88aa..d22fa312341 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-gb.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ie.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-ie.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-sg.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-sg.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-us.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-us.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.en-us.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-es.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-es.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-es.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-us.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-us.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.es-us.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-ca.md index d44b7f308d8..1375f513ca1 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-ca.md @@ -1,12 +1,12 @@ --- title: CLI - Lancer un AI Notebook (EN) excerpt: Découvrez comment lancer un AI Notebooks avec la CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-fr.md index d44b7f308d8..1375f513ca1 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.fr-fr.md @@ -1,12 +1,12 @@ --- title: CLI - Lancer un AI Notebook (EN) excerpt: Découvrez comment lancer un AI Notebooks avec la CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.it-it.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.it-it.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.it-it.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pl-pl.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pl-pl.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pt-pt.md index 68200dd88aa..5b780bf9f2c 100644 --- a/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/cli_11_howto_run_notebook_cli/guide.pt-pt.md @@ -1,12 +1,12 @@ --- title: CLI - Launch an AI notebook excerpt: Learn how to run an AI Notebook using the CLI -updated: 2024-09-12 +updated: 2025-11-17 --- ## Objective -This guide covers the submission of new [** AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. +This guide covers the submission of new [**AI Notebooks**](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition) through the **ovhai** CLI. ## Requirements @@ -269,7 +269,7 @@ Now that the notebook is in the `RUNNING` state, a https address is defined in t You can now start writing code in your notebook. Since we used the PyTorch framework in our example, we will be able to use it without having to install anything ourselves. -As you explore your notebook, you will find an `ai-training-examples` folder already included in your workspace. This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. +As you explore your notebook, you will find an `ai-training-examples` folder already included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace). This repository is automatically cloned for each notebook and includes a variety of examples that you can use with OVHcloud AI products, such as AI Notebooks. ### Stopping a notebook @@ -327,4 +327,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.de-de.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.de-de.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.de-de.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-asia.md index 0a9367f7ff2..396673bb43a 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-asia.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-au.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-au.md index 0a9367f7ff2..396673bb43a 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-au.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ca.md index e7177edb30f..99e5774f878 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ca.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-gb.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-gb.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ie.md index e7177edb30f..99e5774f878 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-ie.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-sg.md index e7177edb30f..99e5774f878 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-sg.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-us.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-us.md index e7177edb30f..99e5774f878 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.en-us.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-es.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-es.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-es.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-us.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-us.md index 0f66c401d7e..83bff1f8835 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.es-us.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-ca.md index 14297fd2d63..64ef6d27117 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-ca.md @@ -1,7 +1,7 @@ --- title: Données - Concepts et bonnes pratiques (EN) excerpt: Comprendre les bonnes pratiques sur les données avec les AI Tools -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-fr.md index 14297fd2d63..64ef6d27117 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.fr-fr.md @@ -1,7 +1,7 @@ --- title: Données - Concepts et bonnes pratiques (EN) excerpt: Comprendre les bonnes pratiques sur les données avec les AI Tools -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.it-it.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.it-it.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.it-it.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pl-pl.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pl-pl.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pt-pt.md index 296abf167dd..4b5de4f8b51 100644 --- a/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/gi_02_concepts_data/guide.pt-pt.md @@ -1,7 +1,7 @@ --- title: Data - Concept and best practices excerpt: Learn the concept behind AI Tools data -updated: 2022-04-11 +updated: 2025-11-17 --- ## Definition @@ -37,6 +37,8 @@ There are two ways to manage your data: 2. At the notebook start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the `RUNNING` phase lasts. 3. After the notebook stop, data is synchronized back **from** the underlying filesystem volume **into** the **OVHcloud Object Storage**. This synchronization is done during the `STOPPING` phase. +This applies to your internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) and remote object storage volumes. + ![image](images/data_phases_notebook.svg){.thumbnail} ## Capabilities diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.de-de.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.de-de.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.de-de.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-asia.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-asia.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-au.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-au.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-au.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ca.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-gb.md index de3f41a819f..b7558fa76cf 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-gb.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ie.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-ie.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-sg.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-sg.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-us.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.en-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-es.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-es.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-es.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-us.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.es-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-ca.md index 3c7b7a8414a..de3f5e703f9 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Facturation et cycle de vie (EN) excerpt: Découvrez comment sont facturés les AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-fr.md index 3c7b7a8414a..de3f5e703f9 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.fr-fr.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Facturation et cycle de vie (EN) excerpt: Découvrez comment sont facturés les AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.it-it.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.it-it.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.it-it.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pl-pl.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pl-pl.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pt-pt.md index de3f41a819f..2979d350cfe 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept/guide.pt-pt.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Billing and lifecycle excerpt: Learn how we bill AI Notebooks -updated: 2025-05-27 +updated: 2025-11-17 --- ## Objective @@ -16,13 +16,13 @@ AI Notebooks are linked to a Public Cloud project. The whole project is billed a During its lifetime, the notebook will go through the following statuses: -- `STARTING`: the notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. -- `RUNNING`: the notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. -- `STOPPING`: the notebook is stopping, your compute resources are freed, your work and status is saved and, if any, the data is synchronized back to the Object Storage. -- `STOPPED`: the notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. -- `FAILED`: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). -- `ERROR`: the notebook ended due to a backend error. You may reach our support. -- `DELETING`: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed and your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved. If remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section of our Troubleshooting documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status). +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after notebook deletion. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/ai.notebooks.lifecycle.png){.thumbnail} @@ -67,10 +67,12 @@ In situations where you are utilizing notebooks with attached remote data, you w #### Workspace storage -By default, your notebook will be mounted a remote Object Storage container on the `/workspace` location. This will be your default folder when you access your notebook. +By default, your notebook will be mounted a remote Object Storage container on the [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) location. This will be your default folder when you access your notebook. You can store your data there. +Your `/workspace` folder is automatically saved when you stop your notebook. You can also trigger a manual data synchronization if needed. + The first 10GB are free for 30 consecutive days once your notebook is stopped, then you pay at the price of OVHcloud Object Storage. #### Ephemeral local storage @@ -152,4 +154,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.de-de.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.de-de.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.de-de.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-asia.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-asia.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-au.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-au.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-au.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ca.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-gb.md index 003ad24c82e..3c207df8f58 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-gb.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,14 +40,13 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ie.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-ie.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-sg.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-sg.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-us.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.en-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-es.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-es.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-es.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-us.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.es-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-ca.md index a842f586f26..e545e45bc34 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept (EN) excerpt: Découvrez le concept des AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-fr.md index a842f586f26..aac62d054e3 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.fr-fr.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept (EN) excerpt: Découvrez le concept des AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.it-it.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.it-it.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.it-it.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pl-pl.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pl-pl.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pt-pt.md index a3efa46bf61..a324fc6a2c6 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_concepts_notebooks/guide.pt-pt.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Notebook concept excerpt: Learn the concept behind AI Notebooks -updated: 2023-12-04 +updated: 2025-11-17 --- ## Definition @@ -40,21 +40,20 @@ During its lifetime, the notebook will transit between the following states: > Only the `RUNNING` time of the notebook **is billed**. For more information about notebooks billing, refer to this [documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). > -- `STARTING`: The notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization. -- `RUNNING`: The notebook is running, you can connect to it and use it. -- `STOPPING`: The notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back. -- `STOPPED`: The notebook ended normally and you can restart it whenever you want or delete it. -- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with an exit code that is not 0. -- `ERROR`: The notebook ended due to a backend error, you may contact our support. -- `DELETING`: The notebook is being removed. -- `DELETE`: The notebook and its [workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) are fully deleted. +- `STARTING`: The notebook is being started and, if any, the remote data is synchronized from the Object Storage. To learn more about data synchronization, please check out the [Data - Concept and best practices](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data#how-it-works) documentation. Then, the system allocates the necessary compute resources (CPUs/GPUs) for your Notebook. Finally, the base framework you have chosen is pulled for use in the notebook. +- `RUNNING`: The notebook is running, you can connect to it using its endpoint and benefit from your compute resources and your attached data. +- `STOPPING`: The notebook is stopping, your compute resources are freed, your work included in your [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) folder is automatically saved, and if remote data is mounted on your notebook, it is synchronized back to the Object Storage if modified and mounted as `RW`, not `RO`. +- `STOPPED`: The notebook ended normally. You can restart it whenever you want or delete it. It will keep the same endpoint. +- `FAILED`: The notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to [this section](/pages/public_cloud/ai_machine_learning/notebook_guide_troubleshooting#cli-my-notebook-is-in-failed-status) of our troubleshooting documentation. +- `ERROR`: The notebook ended due to a backend error. You may reach our support. +- `DELETING`: The notebook is being removed. When it is deleted, you will no longer see it, and it will no longer exist. Its internal [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) data will not be deleted automatically after the notebook is deleted. If you are sure you want to delete it, you can find and delete it in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. ![image](images/notebooks_concept.svg){.thumbnail} ## Go further - You can check the [OVHcloud documentation on how to create a data container](/pages/storage_and_backup/object_storage/pcs_create_container). -- You can check the [OVHcloud documentation on how to create a notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). +- You can check the [OVHcloud AI Notebooks Getting Started documentation on how to create a new notebook](/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition). If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. @@ -62,4 +61,4 @@ If you need training or technical assistance to implement our solutions, contact Please send us your questions, feedback and suggestions to improve the service: -- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) +- On the OVHcloud [Discord server](https://discord.gg/ovhcloud) \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.de-de.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.de-de.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.de-de.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-asia.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-asia.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-au.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-au.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-au.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ca.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-gb.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-gb.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ie.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-ie.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-sg.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-sg.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-us.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.en-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-es.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-es.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-es.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-us.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.es-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-ca.md index 93c233bc9c4..a7372ac4fdb 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Premiers pas (EN) excerpt: Découvrez comment lancer un AI Notebooks -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-fr.md index 93c233bc9c4..a7372ac4fdb 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.fr-fr.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Premiers pas (EN) excerpt: Découvrez comment lancer un AI Notebooks -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.it-it.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.it-it.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.it-it.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pl-pl.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pl-pl.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pt-pt.md index f98704bd787..93dac831d0e 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_introduction_definition/guide.pt-pt.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Getting started excerpt: Learn how to simply bootstrap an AI Notebook -updated: 2025-07-01 +updated: 2025-11-17 --- ## Introduction @@ -445,7 +445,7 @@ To save your Notebook, click on the sub-menu `Save`{.action} of the `File` menu. ### Getting started with code examples -To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook workspace when you launch it, so you can start exploring the examples right away. +To help you get started with your AI Notebook, we provide a [GitHub repository](https://github.com/ovh/ai-training-examples) named `ai-training-examples`, containing code examples and tutorials. This repository is already cloned in your Notebook [/workspace](/pages/public_cloud/ai_machine_learning/notebook_guide_workspace) when you launch it, so you can start exploring the examples right away. We currently provide a variety of tutorials, including for examples: @@ -580,7 +580,7 @@ Once the Notebook has reached the `Stopped` state, you may be interested in rest >> Please replace `YOUR_AI_TOKEN` with your actual AI token and `YOUR_NOTEBOOK_UUID` with the `UUID` of the Notebook you want to stop. >> -Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook. During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. +Restarting a Notebook will transition its state to `RUNNING`, once the Notebook is restarted. However, there will be a short waiting period while your data synchronizes back to your Notebook (internal workspace and remotely mounted volumes if any). During this data synchronization, the Notebook's state will display as `Pending` or `Starting` before entering the `RUNNING` state. ### Deleting a Notebook diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.de-de.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.de-de.md index 044866f56aa..4e5f12b6bb7 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.de-de.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.de-de.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-asia.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-asia.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-asia.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-asia.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-au.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-au.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-au.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-au.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ca.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-gb.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-gb.md index f7e7c2df4e5..4e5f12b6bb7 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-gb.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-gb.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,27 +37,35 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing -The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). +The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). ## Feedback diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ie.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ie.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ie.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-ie.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-sg.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-sg.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-sg.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-sg.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-us.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.en-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-es.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-es.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-es.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-es.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-us.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-us.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-us.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.es-us.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-ca.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-ca.md index 40365771fd9..969da08da9f 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-ca.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-ca.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Utilisation de l’espace Workspace (EN) excerpt: Découvrez le fonctionnement du workspace de votre notebook -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-fr.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-fr.md index 40365771fd9..969da08da9f 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-fr.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.fr-fr.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Utilisation de l’espace Workspace (EN) excerpt: Découvrez le fonctionnement du workspace de votre notebook -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.it-it.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.it-it.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.it-it.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.it-it.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pl-pl.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pl-pl.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pl-pl.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pl-pl.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file diff --git a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pt-pt.md b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pt-pt.md index 044866f56aa..d389a616474 100644 --- a/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pt-pt.md +++ b/pages/public_cloud/ai_machine_learning/notebook_guide_workspace/guide.pt-pt.md @@ -1,7 +1,7 @@ --- title: AI Notebooks - Workspace excerpt: Learn how AI Notebooks workspaces work -updated: 2023-06-23 +updated: 2025-11-17 --- ## Objective @@ -22,7 +22,7 @@ Indeed, **every notebook has by default an internal object storage volume attach When your **notebook is created**, a `/workspace` directory is automatically created. It **contains configuration information** such as **the Machine Learning framework** you have chosen to launch your notebook *(Miniconda, PyTorch, TensorFlow, ...)*, but also all **your installed python libraries**. This directory also allows you to store your data (datasets, codes, etc.). -When you **stop your notebook**, your workspace (`/workspace`) is pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. +When you **stop your notebook**, your workspace (`/workspace`) is automatically saved and pushed to your [Object Storage](/pages/public_cloud/ai_machine_learning/gi_02_concepts_data). This means that all files contained in your `/workspace` directory will be saved for future use. Therefore, the next time you **restart your notebook**, your workspace will be pulled directly from your Object Storage into `/workspace`. You will not need **to reinstall your python libraries, re-import your data** or anything else you put in the `/workspace` directory. @@ -37,24 +37,32 @@ Here is a graph summarizing your notebook's workspace and ephemeral storage usag ![image](images/ai-notebooks_workspace.svg){.thumbnail} + ### Deleting workspace files -If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). +If you run the `ls -a` command in your notebook's `/workspace` directory, you will see all the files and directories that your workspace contains, including hidden ones (whose names begin with a dot (.)). > [!primary] > -> Hidden files and directories often contain temporary files and configuration files. -> +> Hidden files and directories often contain temporary files and configuration files. +> > It may be worth deleting some of these files, such as cache, to free up storage space in your workspace. -> +> > [!warning] > > Be careful, some configuration files must not be removed under any circumstances, to prevent workspace initialization errors. This is the case of the `.workspace.initialized` file. Never delete it and therefore never delete the entire contents of the `/workspace` directory. -> +> > If you delete this file and stop your notebook, you will not be able to restart it in the future, as it will reach the `Error` status. > +### Notebook deletion and workspace backup + +When you delete a notebook, its workspace data stored in Object Storage is not automatically cleaned up. +You can find and delete this data in the `notebooks_workspace` container of your Object Storage, under the notebook ID directory. + +This means that even if a notebook is deleted, its state stored in Object Storage (including your notebook files) remains accessible. + ### Workspace billing The first 10GB of the `/workspace` directory are free during 30 consecutive days. After this period, the [price of OVHcloud Object Storage](/links/public-cloud/prices-object-storage) is applied for each GB. To learn how we bill AI Notebooks, refer to the [Billing and lifecycle documentation](/pages/public_cloud/ai_machine_learning/notebook_guide_billing_concept). @@ -65,4 +73,4 @@ Please send us your questions, feedback and suggestions to improve the service: - On the OVHcloud [Discord server](https://discord.gg/ovhcloud) -If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. +If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project. \ No newline at end of file