Container Service for Kubernetes:Upgrade the cGPU version of a node

Remove and re-add the node

1. Log on to the ACK console. In the left navigation pane, click Clusters.

2. On the Clusters page, click the name of the cluster. In the left navigation pane, choose Nodes > Nodes.

3. On the Nodes page, select the cGPU node to upgrade and click Batch Remove. In the Remove Node dialog box, select Drain Node.

4. Re-add the removed node to the original node pool. For more information, see Add existing nodes to a cluster.

   Important

   Select the automatic node addition method. The node is not reset if you add it manually.

Verify the upgrade

After re-adding the node, run the following commands to confirm the cGPU module is updated.

1. Find the cgpu-installer Pod for the newly added node:

   kubectl get po -l name=cgpu-installer -n kube-system -o wide

   All Pods should show Running status. Example output:

   NAME                   READY   STATUS    RESTARTS   AGE    IP                NODE                         NOMINATED NODE   READINESS GATES
   cgpu-installer-*****   1/1     Running   0          4d2h   192.168.XXX.XX1   cn-beijing.192.168.XXX.XX1   <none>           <none>
   cgpu-installer-**2     1/1     Running   0          4d2h   192.168.XXX.XX2   cn-beijing.192.168.XXX.XX2   <none>           <none>
   cgpu-installer-**3     1/1     Running   0          4d2h   192.168.XXX.XX3   cn-beijing.192.168.XXX.XX3   <none>           <none>

2. Access the cgpu-installer Pod:

   kubectl exec -ti cgpu-installer-xxxxx -n kube-system -- bash

3. Check the current cGPU version:

   nsenter -t 1 -i -p -n -u -m -- cat /proc/cgpu_km/version

   Example output:

   1.5.16

   For the latest available cGPU version, see ack-ai-installer.

NVIDIA driver compatibility

Instance family compatibility

nvidia-container-toolkit compatibility

Kernel version compatibility