NVIDIA to Buy Hugging Face in $12.93 Billion Deal

The semiconductor giant's acquisition of Hugging Face aims to strengthen the open-source model repository through expanded platform capabilities and infrastructure enhancements. The deal is structured to broaden AI availability across enterprise developers, software engineers, and academic research organizations worldwide.

Hugging Face, established over the past decade by Clem Delangue, Julien Chaumond, Thomas Wolf, and their team, has become the central hub for developers working with open models. The platform currently hosts more than 18 million developers, researchers, and creators who collectively maintain over three million models, 500,000 datasets, and one million applications. Commercial usage spans more than 200,000 companies that leverage the platform to discover, test, customize, and implement AI models.

Hardware neutrality and multi-cloud commitments

NVIDIA has committed to preserving Hugging Face as a vendor-neutral platform accessible to the broader AI community. Developers will maintain autonomy in selecting their preferred models, software frameworks, cloud environments, inference providers, and hardware platforms.

The company emphasized that NVIDIA processors will not be a prerequisite for building or deploying applications on the platform. Hugging Face will continue supporting competing accelerators, distributed cloud setups, and open-weight models developed by external organizations.

Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want, and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.

Jensen Huang, Founder and CEO of NVIDIA

Open-weight models and distributed development

Huang referenced an open letter he co-authored addressing the significance of open weights in the artificial intelligence sector. The correspondence contended that open weights democratize AI capabilities and keep technological advancement spread across multiple organizations, universities, and independent developer groups.

This framework enables commercial enterprises, emerging startups, academic institutions, and government agencies to leverage sophisticated AI without the substantial costs associated with training foundational models independently.

Organizations can deploy tailored models for specific applications across manufacturing facilities, healthcare settings, agricultural operations, educational institutions, and business environments, while simultaneously managing security and data residency concerns.

AI is at an inflection point. Open-source AI can become less relevant in the coming years if the big closed labs run away with it, or it can become the foundational fabric of the next phase of human civilisation. Those are vastly different outcomes, and we need the critical mass to ensure we give our collective best shot to the second outcome. Given Jensen Huang's stance on open source AI and how he stepped up to defend it when it was under threat earlier in the summer, NVIDIA was the only partner we truly considered.

Julien Chaumond, Co-Founder and CEO of Hugging Face

Infrastructure expansion and brand preservation

NVIDIA ranks among the platform's most prolific contributors, having shared more than 500 open models and over 250 open datasets with Hugging Face. The company develops its software libraries, utilities, and models in the open, enabling external developers to review, modify, and extend the codebase.

The integration strategy will leverage NVIDIA's infrastructure and technical expertise to strengthen platform stability, enhance security protocols, advance model assessment capabilities, optimize inference performance, and streamline deployment workflows.

I am honored that Clem came to me as he considered the next chapter of Hugging Face and believed NVIDIA would be a great home for the company, its community and the future of open models.

Jensen Huang

Following the transaction's completion, Hugging Face will maintain its distinct brand and identity, with its current leadership and staff continuing to operate across diverse cloud platforms and hardware accelerators.

This gives fuel to our long-term vision and mission of unlocking the community's progress to ensure that AI, which is the greatest breakthrough of our lifetime, is accessible to as many people as possible.

Julien Chaumond