Step #5: Create a GPU Accelerated TKG Cluster

We will create a YAML file to create a GPU accelerated cluster within this document. This file contains the new cluster name and previously specified namespace and VM class.

Note

It is recommended to create enough space on the containerd storage for this cluster as containers will be stored.

List all VM class instances associated with that Namespace using the command below.

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            kubectl get virtualmachineclasses

View GPU resources for a specific class using the command below.

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            kubectl describe virtualmachineclass <VMclass-name>

Create a YAML file with the appropriate configuration for your VM class.

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            nano tanzucluster.yaml

Populate the YAML file with the information below.

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            apiVersion: run.tanzu.vmware.com/v1alpha2
kind: TanzuKubernetesCluster
metadata:
 name: tkg-cluster  namespace: launchpad spec:
  distribution:
    fullVersion: 1.20.8+vmware.1-tkg.2
  settings:
    network:
      cni:
        name: antrea
      pods:
 cidrBlocks:  - 192.0.2.0/16       serviceDomain: local
      services:
        cidrBlocks:
          - 198.51.100.0/12
    storage:
      defaultClass: launchpad-kubernetes
  topology:
    controlPlane:
      replicas: 1
      storageClass: launchpad-kubernetes
      vmClass: guaranteed-medium
    nodePools:
      -
        name: nodepool-a30
        replicas: 2
        storageClass: launchpad-kubernetes
        vmClass: vm-class-a30-24gb
        volumes:
          -
            capacity:
              storage: 100Gi
            mountPath: /var/lib/containerd
            name: containerd

Apply the YAML to create the TKG cluster using the command below.

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            kubectl apply -f tanzucluster.yaml

Execute the command below to see the status of the cluster.

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            kubectl get tkc

Apply the YAML to create the TKG cluster using the command below.

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            kubectl apply -f tanzucluster.yaml

Execute the command below to see the status of the cluster.

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            kubectl get tkc

Wait until the cluster shows ready.
At this point, the IT Administrator will be able to see the cluster created in the vCenter UI.