README.md

Nvidia Docker Install Hook for KOPS

Docker version

Docker, nvidia-docker and nvidia-container-runtime has to agree on a docker version.

The version of nvidia-docker and nvidia-container-runtime installed by nvidia-docker-installer.sh is expecting the Kubernetes cluster to run docker version 17.03.2.

Lets go ahead and change the docker version used by the cluster

kops edit cluster

You need to add the following under spec.

docker:
  logDriver: json-file
  version: 17.03.2

Perform a rolling update and verify that nodes are now running the correct version of docker.

kops rolling-update cluster --yes
kubectl get nodes -o wide

kops create ig gpu-nodes

apiVersion: kops/v1alpha2
kind: InstanceGroup
metadata:
  creationTimestamp: null
  name: gpu-nodes
spec:
  image: kope.io/k8s-1.8-debian-stretch-amd64-hvm-ebs-2018-02-08
  machineType: p2.xlarge
  taints:
  - nvidia.com/gpu=:NoSchedule
  hooks:
  - before:
    - docker.service
    manifest: |
      Type=oneshot
      ExecStart=/bin/bash -c '/usr/bin/curl -L -S -f https://raw.githubusercontent.com/brunsgaard/kops-nvidia-docker-installer/master/nvidia-docker-installer.sh | /bin/bash'
    name: nvidia-docker-install.service
  maxSize: 2
  minSize: 2
  nodeLabels:
    kops.k8s.io/instancegroup: gpu-nodes
  role: Node
  subnets:
  - eu-central-1a
  - eu-central-1b

Update the cluster to start the nodes

kops update cluster --yes

Apply the nvidia device plugin

kubectl apply -f nvidia-device-plugin.yml

Run a testjob

apiVersion: v1
kind: Pod
metadata:
  name: cuda-vector-add
spec:
  restartPolicy: OnFailure
  nodeSelector:
    beta.kubernetes.io/instance-type: p2.xlarge
  tolerations:
  - key: nvidia.com/gpu
    effect: NoSchedule
  containers:
    - name: cuda-vector-add
      # https://github.com/kubernetes/kubernetes/blob/v1.7.11/test/images/nvidia-cuda/Dockerfile
      image: "k8s.gcr.io/cuda-vector-add:v0.1"
      resources:
        limits:
          nvidia.com/gpu: 1