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08 September, 2026

NVIDIA to acquire Hugging Face, retain open approach

NVIDIA will acquire Hugging Face for US$12,930,300,000. The news was announced in a blog post by NVIDIA CEO Jensen Huang, who said: "Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide." 

According to Huang, NVIDIA’s infrastructure, engineering and global reach can help improve Hugging Face's platform reliability, safety, model evaluation, inference and deployment capabilities, while preserving the open ecosystem that made Hugging Face foundational. 

"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," he said.

"Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work." 

Huang noted that open models let organisations build on advanced capabilities without training every model from scratch. "That is how AI can advance safely, strengthen cybersecurity and sovereignty, accelerate innovation, and reach factories, hospitals, farms, classrooms and Main Street businesses around the world," he said. 

The acquisition supports NVIDIA's commitment to open weight models. The company has said that open models, data and tools broaden access to AI, and is the largest contributor of open models and data to Hugging Face, with 500+ models on Hugging Face and more than 250 open datasets. 

"We build our own models, libraries and tools in the open so developers everywhere can use them, modify them and build on top of them," Huang emphasised.

More than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications. Over 200,000 companies use the platform to discover, evaluate, customise and deploy AI. 

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