Cloud giant AWS is teaming up with AI code repository platform Hugging Face to make it easier for developers to access generative AI and other machine learning models.

The partnership will see Hugging Face leverage AWS as a preferred cloud provider, meaning developers can access tools like Amazon SageMaker, AWS Trainium and AWS Inferentia to train and fine-tune models on its cloud systems.

The companies said such a service will allow developers to optimize model performance for specific use cases while reducing costs.

“The future of AI is here, but it’s not evenly distributed,” said Clement Delangue, CEO of Hugging Face, in a blog. “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.”

Hugging Face already has over 100,000 free and accessible machine learning models downloaded more than one million times daily by researchers, data scientists and machine learning engineers.

With the boom of generative AI thanks to ChatGPT, Stable Diffusion and DALL-E, ease of access is a growing need for developers.

“Generative AI has the potential to transform entire industries, but its cost and the required expertise puts the technology out of reach for all but a select few companies,” said Adam Selipsky, CEO of AWS. “This partnership demonstrates how generative AI companies and AWS can work together to put this innovative technology into the hands of more customers.”