Install drivers for GPU node groups

You can create Managed Kubernetes clusters with GPUs without pre-installed drivers. To install the driver yourself, use the NVIDIA® GPU Operator application.

Connect to the cluster.
Install the Helm package manager version 3.7.0 or higher.

Add the nvidia repository to Helm:

helm repo add nvidia https://helm.ngc.nvidia.com/nvidia

Update the nvidia repository in Helm:
```
helm repo update
```
Install NVIDIA GPU Operator and specify the correct version of the GPU driver:
```
helm install \
  --namespace gpu-operator \
  --create-namespace \
  --set driver.version=<driver_version> \
  gpu-operator nvidia/gpu-operator
```
Specify < driver_version > is the NVIDIA® driver version. You can look in the NVIDIA GPU Driver row in the GPU Operator Component Matrix table of the NVIDIA® documentation.

To verify that NVIDIA GPU Operator and the GPU driver are installed correctly, run a GPU application. For example, the CUDA VectorAdd vector addition application:

cat << EOF | kubectl create -f -
apiVersion: v1
kind: Pod
metadata:
name: cuda-vectoradd
spec:
restartPolicy: OnFailure
containers:
- name: cuda-vectoradd
    image: "nvidia/samples:vectoradd-cuda11.2.1"
    resources:
    limits:
        nvidia.com/gpu: 1
EOF

Check that the CUDA VectorAdd application has completed successfully — the status of the feed should be Completed:

kubectl get pods

The cuda-vectoradd feed will have a status of Completed in the response:

NAME                                  READY   STATUS        RESTARTS   AGE
cuda-vectoradd                        0/1     Completed     0          51s