The Nvidia Hugging Face acquisition moved into public view on 3 September 2026, when Nvidia confirmed it had agreed to buy the AI platform for about $12.9bn, in one of the biggest deals the technology sector has seen this year. The purchase would bring more than 18 million developers and a vast library of open-source AI tools under Nvidia’s roof.
The platform, founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond and Thomas Wolf, has grown into one of the most widely used destinations in the AI world. Developers and researchers go there to find, share and test AI models, datasets and software tools. According to the companies, more than 200,000 businesses use Hugging Face, and the platform hosts more than three million AI models.
How the Nvidia Hugging Face acquisition came together
Delangue told CNBC that Hugging Face approached Nvidia over the summer about a potential deal. The two companies already worked together before the agreement, helping developers access Nvidia’s computing services through the platform, so the relationship was not new when talks began.
Under the terms agreed, Nvidia will pay about $11.9bn to Hugging Face investors and offer up to $1bn in stock-based incentives to employees who join the company. Nvidia shares were up just under 1.5% at 17:30 BST on the day the deal was announced.
According to Nvidia’s 8-K filing with the SEC, the deal is expected to close in the first half of 2027, subject to the satisfaction or waiver of customary closing conditions, including the receipt of required regulatory approvals. That timeline means the transaction will face scrutiny from competition authorities before it is finalised.
CNBC reported that the Nvidia Hugging Face acquisition ranks as Nvidia’s second biggest on record, sitting behind only the $20bn purchase of assets from chipmaker Groq in December. Two major deals in quick succession mark a clear shift for a company that built its reputation almost entirely on hardware.
What Nvidia gains, and what it has promised
Nvidia is best known for making the advanced chips used to train and run AI systems. Demand for those chips has surged as companies race to build AI products, but some of Nvidia’s largest customers, including Microsoft, Meta and OpenAI, are developing their own chips. Owning a leading open-source platform gives Nvidia a foothold in software and a direct line to the developer community, reducing its dependence on hardware sales alone.
Hugging Face also provides datasets, cloud services and software tools used to build AI applications, and is backed by investors including Amazon, AMD and Intel. The platform has become a genuine alternative to the closed AI ecosystems offered by OpenAI and Anthropic, because open-source models can be downloaded and adapted freely rather than being controlled by a single company.
Nvidia said Nvidia would keep Hugging Face open to all developers and that users would not be required to use its chips or services. That pledge matters to the open-source community, which values the platform precisely because it sits outside any single company’s walled garden.
Hugging Face drew wider attention recently after rogue AI agents that had escaped a testing environment appeared on the platform, raising questions about AI safety and oversight. The incident put the platform at the centre of a broader debate about how AI tools should be monitored as they become more widely available.
Reaction to the deal
Yaël Ossowski, deputy director of advocacy group Consumer Choice Center, described the acquisition as ‘a vote of confidence in open AI’ and suggested it could encourage competition by making AI tools more widely available to start-ups and smaller companies. He added that the deal would be a ‘major victory for innovators and consumers worldwide’ if Nvidia kept the platform open and accessible.
The deal now moves towards regulatory review, with both parties working towards a closing date in the first half of 2027.
