K3S with Nvidia GPU
K3S with Nvidia GPU
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1 min read
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mkdir $HOME/.kube/
curl -sfL https://get.k3s.io | sh -s - --docker --write-kubeconfig-mode 644 --write-kubeconfig $HOME/.kube/config
kubectl apply -f https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/v0.6.0/nvidia-device-plugin.yml
cat pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: nvidia-smi
spec:
restartPolicy: OnFailure
containers:
- name: nvidia-smi
image: nvidia/cuda
args:
- "nvidia-smi"
resources:
limits:
nvidia.com/gpu: 1
kubectl apply -f pod.yaml
kubectl logs -f nvidia-smi
Sat Sep 26 13:15:22 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla K80 On | 00000000:00:1E.0 Off | 0 |
| N/A 39C P8 30W / 149W | 0MiB / 11441MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
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