Multiple domains overview
Important
Custom IAM policies that allow Amazon SageMaker Studio or Amazon SageMaker Studio Classic to create Amazon SageMaker resources must also grant permissions to add tags to those resources. The permission to add tags to resources is required because Studio and Studio Classic automatically tag any resources they create. If an IAM policy allows Studio and Studio Classic to create resources but does not allow tagging, "AccessDenied" errors can occur when trying to create resources. For more information, see Provide permissions for tagging SageMaker AI resources.
AWS managed policies for Amazon SageMaker AI that give permissions to create SageMaker resources already include permissions to add tags while creating those resources.
Having multiple Amazon SageMaker AI domain simplifies managing machine learning workflows for administrators of enterprises with diverse business units, teams, or projects. Each domain acts as a logically separate environment with its own configurations, settings, and user access controls. This compartmentalization enables organizations to enforce clear boundaries between different groups, teams, or use cases, enhancing the ability to securely allocate AWS resources and permissions on a broad and granular level.
The following provides information about creating multiple domains.
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Amazon SageMaker AI supports the creation of multiple Amazon SageMaker AI domains in a single AWS Region for each account.
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Additional domains in an AWS Region have the same features and capabilities as the first domain in a Region.
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Each domain can have distinct domain settings.
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The same user profile cannot be added to multiple domains in a single Region within the same account.
For information about domain limits, see Amazon SageMaker AI endpoints and quotas.
The following topics provides information on how to use tags for your domain.
