Releasing Standard Dedicated Resource Pools and Deleting the Network

Deleting a Resource Pool

If a dedicated resource pool is no longer needed for AI service development, you can delete the resource pool to release resources.

After a dedicated resource pool is deleted, the development environments, training jobs, and inference services that depend on the resource pool are unavailable. A dedicated resource pool cannot be restored after being deleted.

1. Log in to the ModelArts console. In the navigation pane on the left, choose AI Dedicated Resource Pools > Elastic Clusters.
2. Locate the the target resource pool and choose More > Delete in the Operation column.
3. In the Delete Dedicated Resource Pool dialog box, enter DELETE in the text box and click OK.

   You can switch between tabs on the details page to view the training jobs and notebook instances created using the resource pool, and inference services deployed in the resource pool.

   Figure 1 Deleting a resource pool
   

Releasing a Free Node

Nodes that are not managed by the resource pool are considered as free nodes. To view the information about free nodes, log in to the ModelArts management console, choose Dedicated Resource Pools > Elastic Cluster, and click the Nodes tab.

Figure 2 Nodes

Release the free nodes resources according to the following content:

• For a yearly/monthly node whose resources are not expired, click Unsubscribe in the Operation column.
• For a yearly/monthly node whose resources are expired (in the grace period), click Release in the Operation column.

Unsubscription and release operations cannot be undone. Exercise caution when performing this operation.

Deleting a Network

If a network is no longer needed for AI service development, you can delete the network.

1. Go to the Network tab, locate the target network, and click Delete in the Operation column.
2. Confirm the information and click OK.