Amazon SageMaker Model Registry now supports cross-account machine learning (ML) model sharing
Today, we're excited to announce that Amazon SageMaker Model Registry now integrates with AWS Resource Access Manager (AWS RAM), making it easier to securely share and discover machine learning (ML) models across your AWS accounts.
Data scientists, ML engineers, and governance officers need access to ML models across different AWS accounts such as development, staging and production to make the relevant decisions. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts. Customers can simply go to the AWS RAM console or CLI, specify the Amazon SageMaker Model Registry model that needs to be shared, and grant access to specific AWS accounts or to everyone in the organization. Authorized users can then instantly discover and use those shared models in their own AWS accounts . This streamlines the ML workflows, enables better visibility and governance, and accelerates the adoption of ML models across the organization.
This new feature is now available in all AWS regions where SageMaker Model Registry is available except GovCloud regions.
To learn more, see developer guide.