Updated on 2025-05-28 GMT+08:00

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 Dedicated Resource Pools > Elastic Clusters.
  2. Locate the the target resource pool in the list 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.

Deleting a Network

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

By deleting a network, the resource pool that uses the network will become unavailable. Exercise caution when performing this operation.

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