Nvidia’s agreement to acquire Hugging Face for $12.93 billion marks a decisive move from selling the hardware behind the AI boom to owning a central gathering place for the models, datasets and tools built on it.

The path to Thursday’s announcement began in late August, when reports said Hugging Face was exploring a roughly $13 billion sale and Nvidia had entered talks. The company had been valued at $4.5 billion in its 2023 funding round, making the proposed price a dramatic premium for a platform that has become known as the “GitHub” of AI.¹

Hugging Face chief executive Clément Delangue said the company initiated the conversation over the summer because open-source AI had reached “a turning point” and needed “more resources, more scale, more visibility.” He called Nvidia “a perfect home,” saying negotiations then moved quickly.²

Nvidia’s public case is that ownership will not mean enclosure. Jensen Huang has promised Hugging Face will “remain an open platform for the entire AI ecosystem,” with developers still free to choose their models, frameworks, cloud providers and computing platforms. Nvidia chips, he said, will not be required to build or deploy through the service.¹ The platform’s reach helps explain the stakes: Huang says it serves more than 18 million developers and hosts over 3 million models, 500,000 datasets and 1 million applications.³

Yet the acquisition also sharpens the tension behind that pledge. Nvidia is marrying its dominant chips and data-center infrastructure to millions of downloadable, modifiable AI models, extending its influence further up the stack as closed-model rivals pursue their own chips.⁴

Industry figures have largely welcomed the deal rather than challenged it. Google CEO Sundar Pichai, an investor and continuing partner, said it “will strengthen the open model ecosystem.”Sundar Pichai (sundarpichai)⁵ That optimism now rests on whether Nvidia can fund openness at vast scale without turning the AI commons into another strategic chokepoint.