Install ack-cgpu

Scenarios

• Only ACK dedicated clusters that contain GPU-accelerated nodes support the ack-cgpu component. ACK managed clusters that contain GPU-accelerated nodes do not support the ack-cgpu component.
• If you want to install ack-cgpu in ACK Pro clusters, see Install and use ack-ai-installer and the GPU inspection tool.

Prerequisites

• The CPU policy of the node for which you want to enable GPU scheduling is not set to static.
• An ACK dedicated cluster that contains GPU-accelerated nodes is created. For more information, see Create an ACK dedicated cluster with GPU-accelerated nodes.
• A kubectl client is connected to the cluster. For more information, see Connect to ACK clusters by using kubectl.

Considerations

Step 1: Add labels to GPU-accelerated nodes

1. Log on to the ACK console.
2. In the left-side navigation pane of the ACK console, click Clusters.
3. On the Clusters page, find the cluster that you want to manage and click the name of the cluster or click Details in the Actions column. The details page of the cluster appears.
4. In the left-side navigation pane of the details page, choose Nodes > Nodes.
5. On the Nodes page, click Manage Labels and Taints in the upper-right corner.
6. On the Labels tab of the Manage Labels and Taints page, select the nodes that you want to manage and click Add Label.
7. In the Add dialog box, set Name and Value.
   Notice

   • To enable cGPU, you must set Name to cgpu and Value to true.
   • If you delete the cgpu label, cGPU is not disabled. To disable cGPU, set Name to cgpu and Value to false.
8. Click OK.

Step 2: Install ack-cgpu on the labeled nodes

1. Log on to the ACK console.
2. In the left-side navigation pane of the ACK console, choose Marketplace > App Catalog.
3. On the Marketplace page, click the App Catalog tab. Find and click ack-cgpu.
4. On the ack-cgpu page, click Deploy.
5. In the Deploy wizard, select a cluster and namespace, and then click Next.
6. On the Parameters wizard page, set the parameters and click OK.
   You can run the helm get manifest cgpu -n kube-system | kubectl get -f - command to check whether ack-cgpu is installed. If the following output is returned, ack-cgpu is installed.

   helm get manifest cgpu -n kube-system | kubectl get -f -

   NAME                                    SECRETS   AGE
   serviceaccount/gpushare-device-plugin   1         39s
   serviceaccount/gpushare-schd-extender   1         39s
   
   NAME                                                           AGE
   clusterrole.rbac.authorization.k8s.io/gpushare-device-plugin   39s
   clusterrole.rbac.authorization.k8s.io/gpushare-schd-extender   39s
   
   NAME                                                                  AGE
   clusterrolebinding.rbac.authorization.k8s.io/gpushare-device-plugin   39s
   clusterrolebinding.rbac.authorization.k8s.io/gpushare-schd-extender   39s
   
   NAME                             TYPE       CLUSTER-IP    EXTERNAL-IP   PORT(S)           AGE
   service/gpushare-schd-extender   NodePort   10.6.13.125   <none>        12345:32766/TCP   39s
   
   NAME                                       DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR    AGE
   daemonset.apps/cgpu-installer              4         4         4       4            4           cgpu=true        39s
   daemonset.apps/device-plugin-evict-ds      4         4         4       4            4           cgpu=true        39s
   daemonset.apps/device-plugin-recover-ds    0         0         0       0            0           cgpu=false   39s
   daemonset.apps/gpushare-device-plugin-ds   4         4         4       4            4           cgpu=true        39s
   
   NAME                                     READY   UP-TO-DATE   AVAILABLE   AGE
   deployment.apps/gpushare-schd-extender   1/1     1            1           38s
   
   NAME                           COMPLETIONS   DURATION   AGE
   job.batch/gpushare-installer   3/1 of 3      3s         38s