Hugging Face and AWS partner to make AI more accessible

It’s time to make AI open and accessible to all. That’s the goal of this expanded long-term strategic partnership between Hugging Face and Amazon Web Services (AWS). Together, the two leaders aim to accelerate the availability of next-generation machine learning models by making them more accessible to the machine learning community and helping developers achieve the highest performance at the lowest cost.

A new generation of open, accessible AI

Machine learning is quickly becoming embedded in all applications. As its impact on every sector of the economy comes into focus, it’s more important than ever to ensure every developer can access and assess the latest models. The partnership with AWS paves the way toward this future by making it faster and easier to build, train, and deploy the latest machine learning models in the cloud using purpose-built tools.

“The future of AI is here, but it’s not evenly distributed,” said Clement Delangue, CEO of Hugging Face. “Accessibility and transparency are the keys to sharing progress and creating tools to use these new capabilities wisely and responsibly. Amazon SageMaker and AWS-designed chips will enable our team and the larger machine learning community to convert the latest research into openly reproducible models that anyone can build on.”

Collaborating to scale AI in the cloud

This expanded strategic partnership enables Hugging Face and AWS to accelerate machine learning adoption using the latest models hosted on Hugging Face with the industry-leading capabilities of Amazon SageMaker. Customers can now easily fine-tune and deploy state-of-the-art Hugging Face models in just a few clicks on Amazon SageMaker and Amazon Elastic Computing Cloud (EC2), taking advantage of purpose-built machine learning accelerators including AWS Trainium and AWS Inferentia.