Private curated hubs for foundation model access control in JumpStart - Amazon SageMaker AI

Private curated hubs for foundation model access control in JumpStart

Curate pretrained JumpStart foundation models for your organization with private hubs. Use the latest publicly available and proprietary foundation models while enforcing governance guardrails and ensuring that your organization can only access approved models.

Use private model hubs to share models and notebooks, centralize model artifacts, improve model discoverability, and streamline model use within your organization. Administrators can create private hubs that include subsets of models tailored to different teams, use cases, or security requirements. Administrators can create a JumpStart private model hub using the SageMaker Python SDK. Users can then browse, train, and deploy the curated set of models using Amazon SageMaker Studio or the SageMaker Python SDK.

For more information on creating a private model hub, see Admin guide for private model hubs in Amazon SageMaker JumpStart.

For more information on sharing private model hubs across accounts, see Cross-account sharing for private model hubs with AWS Resource Access Manager.

For more information on accessing a private model hub, see Access curated model hubs in Amazon SageMaker JumpStart.