Editing CCU:New GPU Cluster (section)

=== Running the first test container on the new cluster ===

After login and adjusting the kubeconfig to the new cluster and user namespace, you should be able to start your first pod. The following example pod mounts the ceph filesystems into an Ubuntu container image. Remember to fill in the placeholder <your-username> for your home directory below.

<syntaxhighlight lang="bash">
apiVersion: v1
kind: Pod
metadata:
  name: access-pod
spec:
  containers:
  - name: ubuntu
    image: ubuntu:20.04
    command: ["sleep", "1d"]
    resources:
      requests:
        cpu: 100m
        memory: 100Mi
      limits:
        cpu: 1
        memory: 1Gi
    volumeMounts:
      - mountPath: /abyss/home
        name: cephfs-home
        readOnly: false
      - mountPath: /abyss/shared
        name: cephfs-shared
        readOnly: false
      - mountPath: /abyss/datasets
        name: cephfs-datasets
        readOnly: true
  volumes:
    - name: cephfs-home
      hostPath:
        path: "/cephfs/abyss/home/<your-username>"
        type: Directory
    - name: cephfs-shared
      hostPath:
        path: "/cephfs/abyss/shared"
        type: Directory
    - name: cephfs-datasets
      hostPath:
        path: "/cephfs/abyss/datasets"
        type: Directory
</syntaxhighlight>





Save this e.g. into a "access-pod.yaml", start the pod and verify that it has been created correcly and the filesystems have been mounted successfully, for example with the below commands. You can also check whether you can access the data you have copied over and copy/move it somewhere safe in your private home directory. If you have a large dataset which is probably useful for several people, please contact me so I can move it to the static read-only tree for datasets.

<syntaxhighlight lang="bash">
> kubectl apply -f access-pod.yaml
> kubectl get pods
> kubectl describe pod access-pod
> kubectl exec -it access-pod /bin/bash
$ ls /abyss/shared/<the directory you created for your data>
</syntaxhighlight>