if support vgpu mig 0.5gpu ?

[yiminghub2024]

What happened?

i can not use 0.5gpu 0.1gpu select option in dashboard , so , i want to know kubectl if support mig?

What did you expect to happen?

i can not use 0.5gpu 0.1gpu select option in dashboard , so , i want to know kubectl if support mig?

Environment

Kubernetes version:

$ kubectl version

Kubeflow Trainer version:

$ kubectl get pods -n kubeflow-system -l app.kubernetes.io/name=kubeflow-trainer -o jsonpath="{.items[*].spec.containers[*].image}"

Kubeflow Python SDK version:

$ pip show kubeflow

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[andreyvelich]

/remove-label lifecycle/needs-triage

@yiminghub2024 Thanks for creating this.
The screenshot you shared is for Kubeflow Notebooks.
You should be able to configure vGPU MIG for TrainJob directly in Pod spec.

Can you share how do you use mig today ? Have you explored DRA in Kubernetes: https://kubernetes.io/docs/concepts/scheduling-eviction/dynamic-resource-allocation/ ?