Comments (4)
Hello!
This is currently being handled in kubernetes/kubernetes
The feature is not available in 1.8 or 1.9 but it should be in for 1.10 where we hope to graduate the device plugin to beta.
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Thanks so much @RenaudWasTaken
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@JinsYin see this PR kubernetes/kubernetes#57302
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Thx @pineking
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Related Issues (20)
- GPU health status exposure and remediation methods HOT 1
- GPU distribution wrong after reboot node HOT 2
- Addressing several security vulnerabilities in the version v0.14.4 and v0.14.5 HOT 1
- GPU allocation does not respect NVLink HOT 5
- A pod can access all gpu resources even if no nvidia.com/gpu is configed. HOT 1
- Using CUDA MPS to enable GPU sharing, the pod occupies all GPU memory. HOT 11
- 0/1 nodes are available: 1 Insufficient nvidia.com/gpu HOT 2
- Limiting GPU Resource Usage per Docker Container with MPS Daemon
- K8s 1.24 failed to schedule using GPU-(error code CUDA driver HOT 6
- Access NVIDIA GPUs in K8s in a non-privileged container
- can't install 0.15.0-rc.2 HOT 3
- Device plugin does not start on MIG-enabled host due to insufficient permissions HOT 6
- Daemonset yaml file is not picking up Timeslicing configMap
- Create CDI spec error "libcuda.so.535.129.03 not found" in version "v0.15.0-rc.2" HOT 2
- Dedicated GPU's for time slicing on multi GPU set ups.
- How to mount containerPath to a hostPath for discover NVIDIA libraries w/o CDI spec HOT 5
- Using CUDA MPS to enable GPU sharing in K8S, error:error checking MPS daemon health HOT 2
- K3s in Docker (K3D) - `nvml error: insufficient permissions`
- Fix e2e tests HOT 1
- WSL2 - No devices found. Waiting indefinitely. HOT 3
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