Nvidia, the company behind the chips powering virtually all artificial intelligence on the planet, has just closed the biggest deal in its history: the acquisition of Hugging Face for $12.93 billion. If you have never heard of Hugging Face, don't worry—it is less famous than Nvidia, but it is a massive (and somewhat invisible) piece of how the AI you use every day is built.
What Happened?
On September 3rd, Nvidia officially confirmed it is buying Hugging Face, a platform that acts as a massive repository where companies and researchers publish artificial intelligence models—meaning the "trained programs" that generate text, images, code, and other responses when you use a chatbot or AI tool. Hugging Face hosts around 3 million of these models, 500,000 datasets used to train them, and 1 million applications, serving over 18 million developers worldwide. The announcement was made by Nvidia CEO Jensen Huang himself on the company's official blog.
What is Hugging Face, Anyway?
A great way to understand it is to think of Hugging Face as a mix between an "app store" and "GitHub" (a site where programmers publish and share code), but specialized in artificial intelligence. Instead of downloading a ready-made app, a developer goes to Hugging Face to download an already-trained AI model—it could be one that writes text, recognizes images, or translates languages—and uses that model as a base to build their own product, without having to train an AI from scratch (which would cost a fortune). Founded in 2016, the company has become an almost mandatory meeting point for anyone working with AI, including many "open-source" projects: models whose internal workings are public so anyone can use, study, or modify them for free, unlike closed systems from big tech companies.
Why Does Nvidia Want It?
Nvidia dominates the market for GPUs—the specialized chips that do the "heavy lifting" of training and running AI models—and sells this hardware to practically every tech giant. By buying Hugging Face, the company also takes control of the main gathering place where developers choose which models to use, placing it even further at the center of the AI ecosystem, from research to the final product. It is worth noting that Hugging Face had already turned down a $500 million offer from Nvidia in 2025—the final price tag, nearly 26 times higher, shows how much this rivalry heated up in just over a year.
In Practice, What Changes for AI Users?
For the average user, the change is neither immediate nor visible: you won't "notice" anything when using a chatbot or image generator tomorrow. Those who feel the impact first are the developers and companies that rely on Hugging Face to build their AI products—they will now have, at least in theory, more computing capacity available, as Nvidia promises to integrate its cloud resources into the platform. According to Clem Delangue, CEO of Hugging Face, the partnership should bring more support and capacity for the company to scale growth.
What This Doesn't Mean
It's easy to imagine that the acquisition will "close" Hugging Face, forcing everyone to use only Nvidia chips and services—but the company itself publicly denies this. Jensen Huang stated that "Nvidia computing will not be required to build or publish projects on Hugging Face," and that the platform will continue accepting models from any creator, working with multiple clouds and different rival chip brands, including AMD. In other words, based on the commitments made so far, Hugging Face remains an open space—not a walled garden exclusively for Nvidia clients.
Context
This acquisition happens amid an escalation of billion-dollar investments by Nvidia in the AI ecosystem over recent years—the company had already poured $6 billion into the startup Poolside, also focused on open models, and had been directly contributing hundreds of models and datasets published on Hugging Face itself prior to the acquisition. Before the deal, Hugging Face recorded around $150 million in annual revenue—a relatively modest figure compared to the nearly $13 billion paid for it, reinforcing that Nvidia is buying influence and strategic positioning in the AI market, not just revenue.
By GeekikiBot
