TELCODOCS-1956: Move NVIDIA GPU architecture content to Hardware Acce…#85507
TELCODOCS-1956: Move NVIDIA GPU architecture content to Hardware Acce…#85507adellape merged 1 commit intoopenshift:mainfrom
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@StephenJamesSmith: This pull request references TELCODOCS-1956 which is a valid jira issue. Warning: The referenced jira issue has an invalid target version for the target branch this PR targets: expected the story to target either version "4.19." or "openshift-4.19.", but it targets "openshift-4.17" instead. DetailsIn response to this:
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| include::modules/nvidia-gpu-vsphere.adoc[leveloffset=+3] | ||
| [role="_additional-resources"] | ||
| .Additional resources | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/openshift/nvaie-with-ocp.html#openshift-container-platform-on-vmware-vsphere-with-nvidia-vgpus[OpenShift Container Platform on VMware vSphere with NVIDIA vGPUs] |
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🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
| include::modules/nvidia-gpu-kvm.adoc[leveloffset=+3] | ||
| [role="_additional-resources"] | ||
| .Additional resources | ||
| * link:https://computingforgeeks.com/how-to-deploy-openshift-container-platform-on-kvm/[How To Deploy OpenShift Container Platform 4.13 on KVM] |
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🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
| .Additional resources | ||
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| * link:https://docs.nvidia.com/ngc/ngc-deploy-on-premises/nvidia-certified-systems/index.html[NVIDIA-Certified Systems] | ||
| * link:https://docs.nvidia.com/ai-enterprise/index.html#deployment-guides[NVIDIA AI Enterprise] |
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🤖 [error] Vale.Avoid: Avoid using 'AI'.
| * link:https://docs.nvidia.com/ai-enterprise/index.html#deployment-guides[NVIDIA AI Enterprise] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/overview.html#[NVIDIA Container Toolkit] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/enable-gpu-monitoring-dashboard.html[Enabling the GPU Monitoring Dashboard] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/mig-ocp.html[MIG Support in OpenShift Container Platform] |
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🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
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@StephenJamesSmith: This pull request references TELCODOCS-1956 which is a valid jira issue. Warning: The referenced jira issue has an invalid target version for the target branch this PR targets: expected the story to target either version "4.19." or "openshift-4.19.", but it targets "openshift-4.17" instead. DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the openshift-eng/jira-lifecycle-plugin repository. |
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| include::modules/nvidia-gpu-vsphere.adoc[leveloffset=+2] | ||
| [role="_additional-resources"] | ||
| .Additional resources | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/openshift/nvaie-with-ocp.html#openshift-container-platform-on-vmware-vsphere-with-nvidia-vgpus[OpenShift Container Platform on VMware vSphere with NVIDIA vGPUs] |
There was a problem hiding this comment.
🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
| include::modules/nvidia-gpu-kvm.adoc[leveloffset=+2] | ||
| [role="_additional-resources"] | ||
| .Additional resources | ||
| * link:https://computingforgeeks.com/how-to-deploy-openshift-container-platform-on-kvm/[How To Deploy OpenShift Container Platform 4.13 on KVM] |
There was a problem hiding this comment.
🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
| .Additional resources | ||
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| * link:https://docs.nvidia.com/ngc/ngc-deploy-on-premises/nvidia-certified-systems/index.html[NVIDIA-Certified Systems] | ||
| * link:https://docs.nvidia.com/ai-enterprise/index.html#deployment-guides[NVIDIA AI Enterprise] |
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🤖 [error] Vale.Avoid: Avoid using 'AI'.
| * link:https://docs.nvidia.com/ai-enterprise/index.html#deployment-guides[NVIDIA AI Enterprise] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/overview.html#[NVIDIA Container Toolkit] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/enable-gpu-monitoring-dashboard.html[Enabling the GPU Monitoring Dashboard] | ||
| * link:https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/mig-ocp.html[MIG Support in OpenShift Container Platform] |
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🤖 [error] OpenShiftAsciiDoc.SuggestAttribute: Use the AsciiDoc attribute '{product-title}' rather than the plain text product term 'OpenShift Container Platform', unless your use case is an exception.
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@StephenJamesSmith: This pull request references TELCODOCS-1956 which is a valid jira issue. Warning: The referenced jira issue has an invalid target version for the target branch this PR targets: expected the story to target either version "4.19." or "openshift-4.19.", but it targets "openshift-4.17" instead. DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the openshift-eng/jira-lifecycle-plugin repository. |
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LGTM. Feel free to merge. |
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@wabouhamad should be assigned for QE. |
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@wabouhamad Please review and comment/lgtm. |
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@StephenJamesSmith: This pull request references TELCODOCS-1956 which is a valid jira issue. Warning: The referenced jira issue has an invalid target version for the target branch this PR targets: expected the story to target either version "4.19." or "openshift-4.19.", but it targets "openshift-4.17" instead. DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the openshift-eng/jira-lifecycle-plugin repository. |
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@egallen Wondering if we should add a "Supported hardware" section with a table that lists the supported NVIDIA GPUs and hardware? This table could be updated as needed. WDYT? |
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/label telco |
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| NVIDIA supports the use of graphics processing unit (GPU) resources on {product-title}. {product-title} is a security-focused and hardened Kubernetes platform developed and supported by Red Hat for deploying and managing Kubernetes clusters at scale. {product-title} includes enhancements to Kubernetes so that users can easily configure and use NVIDIA GPU resources to accelerate workloads. | ||
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| The NVIDIA GPU Operator leverages the Operator framework within {product-title} to manage the full lifecycle of NVIDIA software components required to run GPU-accelerated workloads. |
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I would choose a more accessible word instead of "leverage". Maybe "uses" or "takes advantage of".
| [id="nvidia-gpu-architecture_{context}"] | ||
| = NVIDIA GPU architecture | ||
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| NVIDIA supports the use of graphics processing unit (GPU) resources on {product-title}. {product-title} is a security-focused and hardened Kubernetes platform developed and supported by Red Hat for deploying and managing Kubernetes clusters at scale. {product-title} includes enhancements to Kubernetes so that users can easily configure and use NVIDIA GPU resources to accelerate workloads. |
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No change on this one. The wording was chosen by devs because of unique relationship between OpenShift and partner accelerators.
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New changes are detected. LGTM label has been removed. |
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@StephenJamesSmith: all tests passed! Full PR test history. Your PR dashboard. DetailsInstructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. I understand the commands that are listed here. |
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/label merge-review-needed |
| include::modules/nvidia-gpu-csps.adoc[leveloffset=+2] | ||
| [role="_additional-resources"] | ||
| .Additional resources | ||
| * link:https://docs.nvidia.com/ai-enterprise/deployment-guide-cloud/0.1.0/aws-redhat-openshift.html[Red Hat Openshift in the Cloud] |
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The "Openshift" (lowercase "S") typo in the destination page is a bummer. :[
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@adellape I'm opening another PR on the Accelerators section next week. I can fix this then, if that's ok.
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/cherrypick enterprise-4.18 |
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/cherrypick enterprise-4.17 |
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/cherrypick enterprise-4.16 |
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@adellape: new pull request created: #85888 DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
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@adellape: new pull request created: #85889 DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
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@adellape: new pull request created: #85890 DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
[TELCODOCS-1956]: Move NVIDIA GPU architecture content to Hardware accelerator overview
This topic has already been reviewed and published and has been moved from the Architecture section to the Hardware accelerators section.. Changes for new technology may be expected.
Jira: https://issues.redhat.com/browse/TELCODOCS-1956
Version(s): openshift-4.17+, openshift-4.16.z
Link to docs preview: https://85507--ocpdocs-pr.netlify.app/openshift-enterprise/latest/hardware_accelerators/nvidia-gpu-architecture
SME: @egallen
QE: @wabouhamad