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.
- Log in to the ModelArts management console. In the navigation pane, choose Dedicated Resource Pools > Elastic Cluster.
- Locate the row that contains the target resource pool, choose More > Delete in the Operation column.
- 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.