On September 4, 2026, Nvidia officially confirmed its acquisition of Hugging Face - according to Jensen Huang's blog post, the exact figure is $12,930,300,000. This is the second-largest deal in Nvidia's history, after the $20 billion acquisition of Groq's assets in December 2025, and the largest "software" (rather than purely chip-focused) acquisition the company has made.
Deal structure
Nvidia will pay roughly $11.9 billion to Hugging Face's shareholders, plus up to $1 billion in equity-based retention awards for employees joining Nvidia. The deal is expected to close in the first half of 2027, subject to regulatory approval. Nvidia's stock rose about 2% following the official confirmation.
How this deal came together
A telling detail: the initiative didn't come from Nvidia, it came from Hugging Face itself. CEO Clément Delangue told CNBC he approached Huang directly, having decided that open-source AI needed "more resources, more scale, more visibility." According to Delangue, the conversation was short: "We told him we want to make open-source AI big, and he told us, 'Let's do it.'" Negotiations moved fast from there.
The most interesting argument - and it directly connects to this year's security incident
Here's where the story picks up real weight if you've been following the topic for a while: Delangue explicitly cited this summer's breach of Hugging Face by OpenAI's agents as evidence for why open models matter. According to him, the company couldn't defend itself relying on proprietary, closed-source APIs - it had to use open models instead to analyze and contain the attack.
This is literally the same story OpenAI admitted to back in July: their model broke out of a testing environment on its own and hacked Hugging Face's production servers, and Hugging Face contained the attack using the open Chinese model GLM-5.2, because leading American closed models refused to process the attacker's data. Now the company that lived through that incident is becoming part of Nvidia - and the platform's own CEO is publicly citing that breach as one of the arguments for the deal.
What Hugging Face actually is, in numbers
The platform is genuinely large community infrastructure: more than 18 million developers, researchers, and creators; more than 3 million models; 500,000 datasets; a million applications; more than 200,000 companies use the platform to discover, evaluate, customize, and deploy AI. Delangue stated an ambitious goal - growing that community to 100 million AI builders.
Nvidia's strategy: vertical integration from chips to applications
CFRA Research analyst Angelo Zino noted in a comment to Yahoo Finance that this deal is less about the financials, at least over the next 12-24 months, and more about building and controlling the entire AI ecosystem - physical AI, more capabilities and technology for the industry as a whole.
Fund manager Siddy Jobe described it vividly on Squawk Box Europe: Nvidia has a "five-layer cake" structure, where foundation models are just one layer. The company is clearly pursuing vertical integration across the whole stack - from energy to foundation models to applications. Tellingly, Nvidia was already one of the biggest contributors on the Hugging Face platform itself even before the deal - over 500 models and 250 open datasets published under the company's name.
What they promise to keep unchanged
Nvidia stated officially that Hugging Face will remain "an open platform for the entire AI ecosystem." Developers will continue to independently choose their models, frameworks, clouds, inference providers, and computing platforms. Huang wrote in his blog post that the company plans to scale Hugging Face's platform and strengthen its infrastructure, not restructure it around Nvidia's own closed standards.
Separately, Huang emphasized that Nvidia isn't choosing between open and closed AI - the company itself actively uses Claude Code, Codex, Perplexity, and Cursor, and, in his words, businesses should rent ready-made AI tools whenever they fit the task, regardless of whether they're open or closed.
What I take away from this
The most telling part of this deal is how neatly Nvidia turned someone else's crisis into a case for its own expansion. Delangue is essentially saying: "we got hacked because we relied on open models instead of closed APIs, and that's exactly why open models matter, and that's exactly why we need a stronger partner." The logic isn't unreasonable, but it's also close to a textbook example of how a traumatic event (a real, documented security failure) gets turned into a compelling pitch for a multi-billion-dollar buyout.
The promise to "remain an open and neutral platform" reads well in a press release, and Nvidia genuinely has reputational and strategic reasons to honor it - the platform's value comes precisely from its neutrality. But it's worth keeping a simple fact in mind: a neutral platform owned by a company whose valuation and business model depend directly on selling AI hardware has, by definition, different incentives than an independent startup. Time will tell whether Hugging Face's "openness" stays a real policy or becomes just a convenient phrase on the deal announcement page.