View SageMaker training plans quotas using the AWS management console - Amazon SageMaker AI

View SageMaker training plans quotas using the AWS management console

Important

  • For pricing information about SageMaker training plans, see the Amazon SageMaker Pricing page. Navigate to the Amazon SageMaker HyperPod flexible training plans section under On-Demand Pricing. Choose your desired Region to view available instance types and their corresponding prices.

  • Make sure that your Training Jobs or HyperPod service quotas allow a maximum number of instances per instance type that exceeds the number of instances specified in your plan.

You can view the current quotas and limits for SageMaker training plans using the AWS Management Console.

To search for a specific quota value:

  1. Open the Service Quotas console.

  2. In the left navigation pane, choose AWS services.

  3. From the AWS services list, search for and select Amazon SageMaker AI.

  4. In the Service quotas list, you can see the service quota name, applied value (if it's available), AWS default quota, and whether the quota value is adjustable.

To find specific quotas, you can use the search bar at the top of the Service quotas list. Type the Limit Name of the quota you are searching for. For example, to find the quota for the number of training plans per region, you would type training-plan-total_count in the search bar.

The following table outlines the quota limit names for SageMaker training plans.

SageMaker training plans quota limits
Limit Name Display Name
training-plan-total_count Number of training plans per Region
reserved-capacity-ml-p4d-24xlarge Number of ml.p4d.24xlarge instances in reserved capacity across training plans per Region
reserved-capacity-ml-p5-48xlarge Number of ml.p5.48xlarge instances in reserved capacity across training plans per Region
reserved-capacity-ml-p5e-48xlarge Number of ml.p5e.48xlarge instances in reserved capacity across training plans per Region
reserved-capacity-ml-p5en-48xlarge Number of ml.p5en.48xlarge instances in reserved capacity across training plans per Region
reserved-capacity-ml-trn1-32xlarge Number of ml-trn1-32xlarge instances in reserved capacity across training plans per Region
reserved-capacity-ml-trn2-48xlarge Number of ml.trn2.48xlarge instances in reserved capacity across training plans per Region

If you need higher limits for your SageMaker training plans, you may be able to request a quota increase. The ability to increase a quota depends on whether it's adjustable, which you can see in the Service quotas console.

To request a quota increase:

  1. Navigate to the specific quota in the Service quotas console.

  2. If the quota is adjustable, you can request a quota increase at either the account level or resource level based on the value listed in the Adjustability column.

  3. For Increase quota value, enter the new value. The new value must be greater than the current value.

  4. Choose Request.

  5. Quota increase requests are subject to review and approval by AWS. To view any pending or recently resolved requests in the console, navigate to the Request history tab from the service's details page, or choose Dashboard from the navigation pane. For pending requests, choose the status of the request to open the request receipt. The initial status of a request is Pending. After the status changes to Quota requested, you see the case number with AWS Support. Choose the case number to open the ticket for your request.

To learn more about requesting a quota increase in general, see Requesting a quota increase in the AWS Service Quotas User Guide.