5. Installation (Basic)¶

5.1 Add the Helm repo¶

helm repo add nvidia https://helm.ngc.nvidia.com/nvidia
helm repo update
helm search repo nvidia/gpu-operator --versions | head

5.2 Create the namespace with privileged pod security¶

kubectl create ns gpu-operator
kubectl label --overwrite ns gpu-operator pod-security.kubernetes.io/enforce=privileged

5.3 Install with defaults¶

helm install gpu-operator nvidia/gpu-operator \
  -n gpu-operator \
  --version=<chart-version> \
  --wait

This deploys NFD, the driver, the toolkit, the device plugin, GFD, DCGM, the DCGM exporter, the MIG manager, and the validator.

If NFD already runs in your cluster, add --set nfd.enabled=false to avoid running two copies.

5.4 Watch it come up¶

kubectl get pods -n gpu-operator -w

Expected final state (names vary):

gpu-feature-discovery-xxxxx                    1/1  Running
gpu-operator-xxxxxxxxxx-xxxxx                  1/1  Running
nvidia-container-toolkit-daemonset-xxxxx       1/1  Running
nvidia-cuda-validator-xxxxx                    0/1  Completed
nvidia-dcgm-exporter-xxxxx                     1/1  Running
nvidia-device-plugin-daemonset-xxxxx           1/1  Running
nvidia-driver-daemonset-xxxxx                  1/1  Running
nvidia-operator-validator-xxxxx                1/1  Running

The first install takes about 5 to 10 minutes per node because the driver container compiles kernel modules.