Modifying the Job Types Supported by a Standard Dedicated Resource Pool

Description

ModelArts supports many types of jobs. Some of them can run in dedicated resource pools, including training jobs, inference services, and notebook development environments.

You can change job types supported by a dedicated resource pool. Available options for Job Type are Training Job, Inference Service, and DevEnviron.

Only selected types of jobs can be delivered to the corresponding dedicated resource pool.

To support different job types, different operations are performed in the backend, such as installing plug-ins and setting the network environment. Some operations use resources in the resource pool. As a result, available resources for you decrease. Therefore, select only the job types you need to avoid resource waste.

Constraints

The target dedicated resource pool must be running.

Procedure

1. Log in to the ModelArts console. In the navigation pane on the left, choose AI Dedicated Resource Pools > Elastic Clusters.
2. In the Operation column of a resource pool, choose More > Set Job Type.
3. In the Set Job Type dialog box, select job types.
   Figure 1 Setting the job type
   

4. Click OK.