unable to enable MPS strategy
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1. Quick Debug Information
- OS/Version(e.g. RHEL8.6, Ubuntu22.04):
- Kernel Version:
- Container Runtime Type/Version(e.g. Containerd, CRI-O, Docker):
- K8s Flavor/Version(e.g. K8s, OCP, Rancher, GKE, EKS):
- GPU Operator Version:
2. Issue or feature description
i want to set sharing mode of nvidia device plugin to mps, but it chaged to mig auto matically
3. Steps to reproduce the issue
Detailed steps to reproduce the issue.
4. Information to attach (optional if deemed irrelevant)
- [ ] kubernetes pods status:
kubectl get pods -n OPERATOR_NAMESPACE - [ ] kubernetes daemonset status:
kubectl get ds -n OPERATOR_NAMESPACE - [ ] If a pod/ds is in an error state or pending state
kubectl describe pod -n OPERATOR_NAMESPACE POD_NAME - [ ] If a pod/ds is in an error state or pending state
kubectl logs -n OPERATOR_NAMESPACE POD_NAME --all-containers - [ ] Output from running
nvidia-smifrom the driver container:kubectl exec DRIVER_POD_NAME -n OPERATOR_NAMESPACE -c nvidia-driver-ctr -- nvidia-smi - [ ] containerd logs
journalctl -u containerd > containerd.log
Collecting full debug bundle (optional):
curl -o must-gather.sh -L https://raw.githubusercontent.com/NVIDIA/gpu-operator/master/hack/must-gather.sh
chmod +x must-gather.sh
./must-gather.sh
NOTE: please refer to the must-gather script for debug data collected.
This bundle can be submitted to us via email: [email protected]
@thien-lm can you please share more information on your deployment and the behavior you are observing?
This issue is stale because it has been open 90 days with no activity. This issue will be closed in 30 days unless new comments are made or the stale label is removed. To skip these checks, apply the "lifecycle/frozen" label.
Hey! This issue has been open for over 90 days without any recent updates, and the original context may now be outdated.
A response was provided in this comment: https://github.com/NVIDIA/gpu-operator/issues/717#issuecomment-2223980748 and there has been no activity since then. Given that it has been more than a year now, and in order to keep the issue tracker clean and focused on current, actionable topics, I’m going to close this issue.
If you have any questions or need further assistance, please open a new issue with the relevant details so someone from the team can take a look.