$ curl -L https://git.io/get_helm.sh | bash

# Create service-account for helm
$ kubectl create serviceaccount -n kube-system tiller
$ kubectl create clusterrolebinding tiller-cluster-rule --clusterrole=cluster-admin --serviceaccount=kube-system:tiller

# Initialize Helm
$ helm init --service-account tiller --wait

# Note that if you have helm already deployed in your cluster and you are adding a new node, run this instead
$ helm init --client-only

# Additional step required for Kubernetes v1.16. See: https://github.com/helm/helm/issues/6374
$ helm init --service-account tiller --override spec.selector.matchLabels.'name'='tiller',spec.selector.matchLabels.'app'='helm' --output yaml | sed 's@apiVersion: extensions/v1beta1@apiVersion: apps/v1@' | kubectl apply -f -
$ kubectl wait --for=condition=available -n kube-system deployment tiller-deploy

# Before running this, make sure helm is installed and initialized:
$ helm repo add nvidia https://nvidia.github.io/gpu-operator
$ helm repo update

# Note that after running this command, NFD will be automatically deployed. If you have NFD already setup, follow the NFD instruction from the Prerequisites.
$ helm install --devel nvidia/gpu-operator -n test-operator --wait
$ kubectl apply -f https://raw.githubusercontent.com/NVIDIA/gpu-operator/master/manifests/cr/sro_cr_sched_none.yaml

# To check the gpu-operator version
$ helm ls

$ helm del --purge test-operator
$ sudo reboot

# Check if the operator got uninstalled properly
$ kubectl get pods -n gpu-operator-resources
No resources found.

# Create a tensorflow notebook example
$ kubectl apply -f https://nvidia.github.io/gpu-operator/notebook-example.yml

# Grab the token from the pod once it is created
$ kubectl get pod tf-notebook
$ kubectl logs tf-notebook
...
[I 23:20:42.891 NotebookApp] jupyter_tensorboard extension loaded.
[I 23:20:42.926 NotebookApp] JupyterLab alpha preview extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab
JupyterLab v0.24.1
Known labextensions:
[I 23:20:42.933 NotebookApp] Serving notebooks from local directory: /home/jovyan

   Copy/paste this URL into your browser when you connect for the first time,
       to login with a token:
          http://localhost:8888/?token=MY_TOKEN
You can now access the notebook on http://localhost:30001/?token=MY_TOKEN