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@@ -33,7 +33,7 @@ Note here we are pointing the nvidia runtime to "/run/current-system/sw/bin/nvid
Now apply the following runtime class to k3s cluster:
```
```yaml
apiVersion:node.k8s.io/v1
handler:nvidia
kind:RuntimeClass
@@ -43,9 +43,12 @@ metadata:
name:nvidia
```
Following [k8s-device-plugin](https://github.com/NVIDIA/k8s-device-plugin#deployment-via-helm) install the helm chart with `runtimeClassName: nvidia` set. In order to passthrough the nvidia card into the container, your deployments spec must contain - runtimeClassName: nvidia - env:
Following [k8s-device-plugin](https://github.com/NVIDIA/k8s-device-plugin#deployment-via-helm) install the helm chart with `runtimeClassName: nvidia` set. In order to passthrough the nvidia card into the container, your deployments spec must contain