AWS will offer HF’s products to its customers and run its next LLM tool

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AWS will offer Hugging Face’s AI products natively on AWS infrastructure and collaborate on its next generation large language model tooling. This partnership brings together Hugging Face’s open-source ecosystem and model hub with the scalability, security, and managed services of Amazon Web Services. Developers can discover, deploy, and optimize state-of-the-art models directly on AWS, using familiar services such as Amazon SageMaker and Amazon EC2, while benefiting from tight integration with Hugging Face libraries, datasets, and inference endpoints. The collaboration is designed for startups, enterprises, and researchers who want to build production-grade AI applications without managing complex infrastructure or proprietary serving stacks. Users gain streamlined access to thousands of pretrained models, accelerated training on AWS compute, and simplified MLOps workflows for monitoring and updating models in production. As AWS runs Hugging Face’s next LLM tooling, customers can experiment with advanced language models for chatbots, code assistants, document intelligence, and more, all within their existing AWS environments. This combination of cloud-native services and open-source innovation helps teams move from prototype to production faster, control costs with flexible compute options, and maintain governance through AWS security and compliance frameworks. Whether you’re fine-tuning a transformer, hosting an API at scale, or integrating generative AI into existing applications, the AWS and Hugging Face collaboration offers a unified, enterprise-ready path to building and operating modern AI solutions.