Upgrade cGPU Basic Edition to cGPU Professional Edition in an ACK Pro cluster

If cGPU Basic Edition is installed in a Container Service for Kubernetes (ACK) dedicated cluster, cGPU cannot work as normal after you migrate the cluster workloads to an ACK Pro cluster. ACK Pro clusters support only cGPU Professional Edition. In this case, you must upgrade cGPU Basic Edition to cGPU Professional Edition in the ACK Pro cluster after the migration is completed. This topic describes how to upgrade cGPU Basic Edition to cGPU Professional Edition in an ACK Pro cluster.

1. Connect to ACK clusters by using kubectl.
2. Download the Job YAML file that is used to change the node label and uninstall the original cGPU component. To download the YAML file, click gpushare-label-change.yaml.
3. Run the following command to deploy the Job that runs the cGPU component:

   kubectl apply -f gpushare-label-change.yaml

4. Run the following command to check whether the Job is deployed:

   kubectl get po -l app=change-gpushare-labels -n kube-system

   Expected output:

   NAME                             READY   STATUS      RESTARTS   AGE
   gpushare-label-migration-v****   0/1     Completed   0          89s

   The output shows that the Job is in the Completed state, which indicates that the Job is deployed.
5. Install cGPU Professional Edition. For more information, see Install the cGPU component.
6. Install a GPU memory inspection tool in the cluster. For more information, see Install and use the GPU memory inspection tool.