Creating AI Workloads Using GPU Resources¶

After the administrator allocates resource quotas for the workspace, users can create AI workloads to utilize GPU computing resources.

Prerequisites¶

• The AI platform is installed
• User has successfully registered
• Administrator has assigned a workspace to the user
• Resource quotas have been set for the workspace
• A cluster has been created

Steps to Create AI Workloads¶

1. Log in to the AI platform as a User.

2. Navigate to Container Management, select a namespace, then click Workloads -> Deployments, and then click the Create from Image button on the right.

3. After configuring the parameters, click OK.

   Basic InformationContainer ConfigurationOthers

   Select your own namespace.

   Set the image, configure resources such as CPU, memory, and GPU, and set the startup command.

   Service configuration and advanced settings can use default configurations.

4. Automatically return to the stateless workload list and click the workload name.

5. Enter the details page to view the GPU quota.

6. You can also enter the console and run the mx-smi command to check the GPU resources.

   

Next step: Using Notebook