Sagemaker Studio

Amazon SageMaker Studio now includes direct integration with Hugging Face, allowing users to select a supported model from Hugging Face and work with it in a fully configured Studio environment in one click. The integration enables developers and data scientists to move from model discovery to immediate experimentation and customization without leaving the SageMaker Studio interface. Amazon maintains SageMaker Studio as part of its AWS machine learning platform, and this update streamlines access to pre-trained models from a major open-source repository. The feature supports one-click deployment and customization, reducing the friction in the model-to-development workflow. It is primarily used by AI and ML practitioners who need rapid access to models from Hugging Face within AWS’s ecosystem.

Amazon announced a direct integration between SageMaker Studio and Hugging Face, enabling users to go from discovering a model to working with it in a fully configured Studio environment in a single click. This update was shared in two official AWS press releases from July 2026, emphasizing the one-click deployment and customization capabilities. The integration allows users to select any supported model on Hugging Face and immediately begin working with it in SageMaker Studio. The change reflects AWS’s effort to reduce friction in accessing and deploying pre-trained models. The feature is highlighted in both the AWS Whats New and AWS News Blog, confirming its official release and intended use case.