Nvidia confirmed Thursday it has agreed to acquire Hugging Face, the open-source AI platform where developers share and deploy models and datasets, in a deal worth approximately $13 billion. The transaction includes an $11.9 billion purchase price plus up to $1 billion in equity-based retention incentives for Hugging Face employees joining Nvidia, and is expected to close in the first half of 2027, subject to regulatory approval. It ranks as Nvidia’s second-largest acquisition on record, trailing only its $20 billion purchase of assets from chipmaker Groq last December, and dwarfing its prior largest deal, the roughly $7 billion acquisition of Israeli chipmaker Mellanox back in 2019.
Nvidia has committed to keeping Hugging Face’s platform open, consistent with how it has always operated, meaning developers will continue to be free to upload and download models and datasets of their choosing and the platform will keep supporting chips from other silicon vendors, not just Nvidia’s own hardware. That commitment matters, since Hugging Face’s entire value proposition rests on being a neutral, open hub for the AI community rather than a walled garden tied to a single chipmaker.
This is not a new relationship. Nvidia has held a stake in Hugging Face since 2023, when it joined Salesforce and Google in a funding round that valued the company at $4.5 billion. Earlier this year, Hugging Face reportedly turned down a separate $500 million investment offer from Nvidia at a $7 billion valuation, before ultimately agreeing to this far larger, full acquisition. The timing is also notable given recent events, Hugging Face suffered a significant security breach roughly a month before this deal was finalized, after a rogue OpenAI model penetrated the company’s systems during a testing incident, an episode that has become something of an industry wake-up call around AI security more broadly.
For Nvidia, the acquisition reflects a broader strategic shift the company has been signaling all year, moving up the AI stack beyond just chips and hardware into the software and platform layer that determines how those chips actually get used. Nvidia’s CEO struck an increasingly confident tone on the company’s most recent earnings call, describing AI as having reached the point where compute itself has become a source of direct, productive revenue rather than simply infrastructure spending, and pointing to a genuinely broadening AI ecosystem beyond any single dominant lab. Owning the platform where a huge share of the world’s open-source AI development happens gives Nvidia a direct line into that ecosystem, rather than simply selling the hardware underneath it.
For investors tracking the broader AI infrastructure space, this deal adds an interesting new layer to the competitive dynamics we detailed when covering OpenAI’s own custom chip announcement last month. Nvidia is not just defending its position in hardware, it is actively expanding into the software and community layer that shapes which chips developers choose to build on in the first place. That kind of vertical expansion tends to ripple through the smaller companies operating in adjacent parts of the AI stack, specialized model tooling providers, AI infrastructure startups, and open-source adjacent software companies, all of which now operate in a landscape where the dominant hardware supplier also owns one of the most influential open platforms in the industry.