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GPU MIG Right sizing recommendations by kruize #1312
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This new feature can be implemented in the following steps:
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This was referenced Oct 3, 2024
@bharathappali Can this be closed now? |
Yes @dinogun as all PR's are merged |
Please update the test PR details and close this |
@bharathappali I asked for the test PR details to be added in the description |
Sorry for over look, Will be adding it now @dinogun |
Reopened to updated the description with Test PR |
Closing this issue as all the PR's are merged. |
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Describe the feature
Kruize reads CPU & memory usage data from the provided data source and comes up with the CPU and Memory right sizing recommendation. In a similar way it would be good to have the GPU MIG partition sizing recommendation for container which utilise GPU's
Examples or references
Most of the ML workloads need GPU power and advanced GPU's from NVIDIA support MIG (Multi instance GPU's) where a single Physical GPU can be partitioned into multi instances of virtual or logical GPU's which can be configured and shared across multiple containers. Ampere (from A30) and Hopper series GPU's provide this feature.
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Additional Context
None
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