Important
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This product is in preview and is subject to change. If you’re interested in learning more about this offering, contact Teradata Support. |
This document outlines the steps for deploying and setting up a Teradata AI Unlimited interface using Docker. You can use JupyterLab or workspace client as your Teradata AI Unlimited interface.
You can deploy JupyterLab using:
For information about workspace client, see :using-ai-unlimited-workspace-cli.adoc.
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Pull the Docker image from the DockerHub at https://hub.docker.com/r/teradata/ai-unlimited-jupyter.
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Run the Docker image once you’ve set the
JUPYTER_HOME
variable.NoteModify the directories based on your requirements. docker run -detach \ --env “accept_license=Y” \ --publish 8888:8888 \ --volume ${JUPYTER_HOME}:/home/jovyan/JupyterLabRoot \ teradata/ai-unlimited-jupyter:latest
The command downloads and starts a JupyterLab container and publishes the ports needed to access it. Connect to JupyterLab using the URL: http://localhost:8888 and enter the token when prompted. For detailed instructions, see Teradata Vantage™ Modules for Jupyter Installation Guide or Use Vantage from a Jupyter Notebook.
With Docker Compose, you can easily configure, install, and upgrade your Docker-based JupyterLab installation.
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Install Docker Compose. See https://docs.docker.com/compose/install/.
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Create a jupyter.yml file.
version: "3.9" services: jupyter: deploy: replicas: 1 platform: linux/amd64 container_name: jupyter image: ${JUPYTER_IMAGE_NAME:-teradata/ai-unlimited-jupyter}:${JUPYTER_IMAGE_TAG:-latest} environment: accept_license: "Y" ports: - 8888:8888 volumes: - ${JUPYTER_HOME:-./volumes/jupyter}:/home/jovyan/JupyterLabRoot/userdata networks: - td-ai-unlimited networks: td-ai-unlimited:
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Go to the directory where the jupyter.yml file is located and start JupyterLab.
docker compose -f jupyter.yml up
Once the JupyterLab server is initialized and started, you can connect to JupyterLab using the URL: http://localhost:8888 and enter the token when prompted. For detailed instructions, see Teradata Vantage™ Modules for Jupyter Installation Guide or Use Vantage from a Jupyter Notebook.
Congrats! You’re all set up to use Teradata AI Unlimited.
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Get started with Teradata AI Unlimited by running a simple workflow. See :running-sample-ai-unlimited-workload.adoc.
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Interested in learning how Teradata AI Unlimited can help you with real-life use cases? Coming soon! Keep watching this space for the GitHub link.
ROOT:partial$community_link.adoc