View a markdown version of this page

Quotas for Amazon SageMaker Unified Studio - Amazon SageMaker Unified Studio

Quotas for Amazon SageMaker Unified Studio

Your AWS account has default quotas, formerly referred to as limits, for each AWS service. Unless otherwise noted, each quota is account-specific and Region-specific. If the default quotas don't fit your use case, you can request a quota increase. You can use the Service Quotas console from the AWS Management Console or contact AWS Support to submit requests on your behalf. For more information about how to request a quota increase using the Service Quota console, see Requesting a quota increase in the Service Quotas User Guide.

The resource quota limits are applied at the account level, meaning the depletion of resource quotas in one project can affect all other projects within the account. Administrators can monitor resource usage by project and take necessary actions through the Amazon SageMaker Unified Studio console. When approaching quota limits, administrators can delete unused resources to free up quota allocation or request a quota increase.

Amazon SageMaker Unified Studio has the following default quotas and limits. These default quotas provide a balance between resource availability and cost management.

Resource Default
Maximum number of JupyterLab instances 4000
Maximum number of user type project members per project 100
Maximum number of group type project members per project 20
Maximum number of spaces 6000
Maximum number of projects 1000
Maximum number of environments 1000
Maximum number of Micro environments 200

For more information about other AWS service quotas, see AWS service quotas.

For more quotas information, see the following: