Nvidia made it official on Thursday (3) that it has acquired Hugging Face, one of the most influential platforms in the open-source artificial intelligence universe, in a deal valued at $12.9 billion. The announcement, confirmed by the company itself following reports from The Information and CNBC, marks one of the biggest AI sector acquisitions of 2026 and further solidifies the chipmaker's power over the model development ecosystem.
What Nvidia is Buying
Founded as a collaborative repository for researchers and developers, Hugging Face has evolved into a sort of 'GitHub for artificial intelligence'. The platform currently hosts over 3 million AI models, roughly 1 million applications, and 500,000 datasets, used by a community of approximately 18 million developers worldwide.
It is precisely this user base—and the influence it wields over which models and tools become market standards—that makes the acquisition so strategic for Nvidia, currently the leading supplier of chips used to train AI systems.
Why Nvidia Wanted Hugging Face
According to Nvidia CEO Jensen Huang, the deal aims to expand the open AI ecosystem and allow the company to sell excess computing capacity directly to enterprise clients, already integrated with Hugging Face tools. In practice, this brings Nvidia's chips even closer to the daily workflow of millions of developers.
Huang made a point of assuring that Hugging Face will continue operating as an open platform for the entire ecosystem, and that using Nvidia hardware will not be mandatory for those publishing or downloading models there—an attempt to curb community fears about a potential 'capture' of the platform by a single manufacturer.
Meanwhile, Hugging Face CEO and co-founder Clem Delangue stated that the company needed more computing power and partnerships to scale up—resources that Nvidia is uniquely positioned to offer. Interestingly, Hugging Face had previously turned down a $500 million offer from Nvidia itself, prior to its last funding round in 2023.
Community Reaction
Online, the news divided opinions between enthusiasm for the billion-dollar investment and apprehension regarding the platform's future independence from one of the biggest names in the AI industry. Delangue tried to calm tensions by publicly thanking the community for proving, in his words, that open alternatives to closed proprietary models are viable—and that this exact culture is what the acquisition aims to preserve.
With this deal, Nvidia further expands its reach in the artificial intelligence market—which it already dominates on the hardware side—and gains direct influence over the software layer and community where a large share of open AI innovation happens today.