Epic Goal

• GA NVIDIA MIG support is openshift so that customer can run mix specialized workload example AI and HPC on a single NVIDIA GPU

https://blogs.nvidia.com/blog/2020/05/14/multi-instance-gpus/ 

https://docs.nvidia.com/datacenter/cloud-native/kubernetes/mig-k8s.html 

Why is this important?

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Scenarios

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Acceptance Criteria

• CI - MUST be running successfully with tests automated
• Release Technical Enablement - Provide necessary release enablement details and documents.
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Dependencies (internal and external)

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Previous Work (Optional):

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Open questions::

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Done Checklist

• CI - CI is running, tests are automated and merged.
• Release Enablement <link to Feature Enablement Presentation>
• DEV - Upstream code and tests merged: <link to meaningful PR or GitHub Issue>
• DEV - Upstream documentation merged: <link to meaningful PR or GitHub Issue>
• DEV - Downstream build attached to advisory: <link to errata>
• QE - Test plans in Polarion: <link or reference to Polarion>
• QE - Automated tests merged: <link or reference to automated tests>
• DOC - Downstream documentation merged: <link to meaningful PR>