AWS sagemaker-unified-studio documentation change
Summary
Updated documentation to include Amazon SageMaker AI resources in the list of bring-your-own resources.
Security assessment
The change adds information about migrating SageMaker AI resources but does not pertain to security features or issues.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/bring-resources-scripts.md b/sagemaker-unified-studio/latest/userguide/bring-resources-scripts.md index dc8bd634b..5f0b14b3f 100644 --- a//sagemaker-unified-studio/latest/userguide/bring-resources-scripts.md +++ b//sagemaker-unified-studio/latest/userguide/bring-resources-scripts.md @@ -5 +5 @@ -AWS Glue Data CatalogsAmazon S3 dataAmazon Athena workgroups and saved queriesAmazon EMR on EC2 clustersAmazon Redshift clusters and Amazon Redshift Serverless workgroupsAWS IAM roles +AWS Glue Data CatalogsAmazon S3 dataAmazon Athena workgroups and saved queriesAmazon EMR on EC2 clustersAmazon Redshift clusters and Amazon Redshift Serverless workgroupsAmazon SageMaker AI resourcesAWS IAM roles @@ -51,0 +52,7 @@ To bring your existing Amazon S3 data and use it in Amazon SageMaker Unified Stu +## Amazon SageMaker AI resources + + * Amazon SageMaker Studio users can bring their existing SageMaker AI domains, user profiles, and spaces into Amazon SageMaker Unified Studio. This integration also supports additional SageMaker AI resources such as training jobs, machine learning pipelines, models, inference endpoints, and more. A package of GitHub scripts for bringing Amazon SageMaker AI resources into Amazon SageMaker Unified Studio can be found [here](https://github.com/aws/Unified-Studio-for-Amazon-Sagemaker/tree/main/migration/sagemaker-ai). + + + +