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Amazon SageMaker JumpStart provides a feature called private hubs, allowing organizations to share and manage access to pre-trained models and solutions within their enterprise. Admins can configure granular access controls, enabling tailored model repositories for different teams and use cases. Users can access these models via SageMaker Studio and the Python SDK. The feature supports cross-account sharing using AWS Resource Access Manager (AWS RAM), facilitating collaboration while maintaining control. The private hubs decouple model curation from consumption, aligning AI initiatives with corporate policies and regulatory requirements.

Manage Amazon SageMaker JumpStart foundation model access with private hubs

Create a private hub, curate models, and configure access control (admins)