Nvidia reportedly agreed to buy Hugging Face for $12.9 billion, according to a report from The Information carried by Reuters on August 27, 2026. However, the story is not yet a normal completed-acquisition announcement. Neither Nvidia nor Hugging Face had published an official confirmation when this article was prepared, and another report described ongoing talks rather than a finished agreement.
That distinction matters. “Reportedly agreed” describes what a source told the media. It does not prove that documents are signed, regulators have approved the transaction or ownership has changed.
Did Nvidia Buy Hugging Face?
The most accurate answer is: Nvidia was reported to have reached an agreement, but the transaction remains unconfirmed by the two companies.
Reuters said The Information reported a $12.9 billion agreement, citing a person with knowledge of the deal. Reuters also said Nvidia and New York-based Hugging Face did not immediately respond to requests for comment outside regular business hours.
Business Insider separately reported that the companies had held acquisition discussions at a value above $13 billion but had not reached a deal and that talks could still fail. Bloomberg was also reported to have used a “discussed buying” framing. These accounts describe different stages, so it would be irresponsible to write that Nvidia now owns Hugging Face.
Confirmation would normally come through an Nvidia or Hugging Face statement, a regulatory filing or another primary document explaining the terms and expected closing process. Until then, “reported deal” is the safer label.
What Is Hugging Face?
Hugging Face is one of the best-known platforms in the open AI ecosystem. Its Hub allows developers and researchers to publish and access model weights, datasets and interactive applications. Its software libraries, including Transformers, also help teams train, fine-tune and deploy machine-learning models.
The company’s importance is not limited to web traffic. Hugging Face sits between model creators, application builders and infrastructure providers. A model can reach a wide developer audience through the Hub, while cloud and chip companies can make their hardware easier to use through integrations.
Nvidia and Hugging Face already have a long relationship. In 2023, Nvidia announced a collaboration connecting Hugging Face users with DGX Cloud AI supercomputing. Nvidia also joined a $235 million Hugging Face funding round that valued the company at $4.5 billion.
Why Would Nvidia Want Hugging Face?
Direct Access to AI Developers
Nvidia dominates AI accelerators, but long-term power also comes from developer habits. If researchers discover, test and deploy models through a platform closely connected to Nvidia tools, that activity can support demand for CUDA, Nvidia GPUs, networking products and AI cloud services.
A Full-Stack AI Strategy
Nvidia increasingly describes itself as a complete AI infrastructure platform rather than a chip vendor. It develops GPUs, CPUs, networking, systems, software, models and deployment tools. Hugging Face would add a large model-and-data distribution layer to that stack.
Nvidia is already a major contributor on Hugging Face. In March 2026, the company said it had shared more than two petabytes of AI-ready training data, over 180 datasets and more than 650 open models. Ownership could tighten those connections, although no post-acquisition product plan has been announced.
Competition From Custom Chips
Major cloud companies and frontier AI labs are developing their own accelerators. Hugging Face’s developer reach could help Nvidia keep open models optimized for its hardware and software. That would not stop competitors, but it could make Nvidia the easiest default route for a broad range of builders.
Why the Reported $12.9 Billion Price Stands Out
The reported price is nearly three times Hugging Face’s $4.5 billion valuation in 2023. Reuters also cited The Information as reporting annualized revenue of about $150 million. A $12.9 billion price would equal roughly 86 times that revenue figure.
That rough multiple is not an earnings multiple, and it does not show whether Hugging Face is profitable. It suggests Nvidia would be paying for strategic control, community reach, data and software distribution rather than near-term cash flow alone.
The price could still change, and the final structure could include stock, cash, retention packages or conditions not included in the first reports. Treating the headline number as final before official documents appear would be premature.
What Could Change for Open-Source AI?
A Nvidia-owned Hugging Face could gain more capital, compute capacity, security investment and integration support. Developers might receive faster access to optimized inference, training tools and open models.
The concern is neutrality. Hugging Face supports models and tools across Nvidia, AMD, Intel, cloud platforms and independent research groups. If one hardware company controlled the Hub, competitors and developers could worry about ranking, optimization, access or commercial policy. No evidence shows that Nvidia plans to restrict rival hardware, but trust can change before product rules do.
Open-source governance is another issue. Many assets on Hugging Face belong to outside creators and use different licenses. Buying the platform would not automatically give Nvidia ownership of every uploaded model or dataset. Existing licenses, user agreements and community expectations would still matter.
Regulatory and Deal Risks
Regulators could examine whether combining the leading AI-chip supplier with a major model-distribution platform harms competition. Export controls and national-security questions may also matter because the Hub serves users and hosts models worldwide.
The companies would also face integration and retention risk. Hugging Face’s value depends heavily on its developer community and staff. A deal that causes important contributors or customers to leave could weaken the asset Nvidia reportedly wants to buy.
What the Report Could Mean for NVDA
The strategic case is positive if Hugging Face strengthens Nvidia’s developer reach and creates more demand for its computing platform. The financial case is less obvious because the reported price is high relative to revenue. Investors should also separate this acquisition story from Nvidia’s strong Q2 FY2027 earnings, which are covered in Tapbit Learn’s separate post-results analysis.
For background on the underlying market, see the NVDA-USDT perpetual futures guide and Tapbit Learn’s analysis of what drives Nvidia’s value.
How to Follow NVDA-USDT Futures on Tapbit
Tapbit users can follow Nvidia-linked price moves through the NVDA-USDT perpetual futures contract. The product provides price exposure, not Nvidia shares, voting rights, dividends or ownership of Hugging Face.
Unconfirmed M&A news can reverse quickly. Check the source, mark price, funding rate, leverage and liquidation level before trading. Users can create an account and review the contract rules before opening a position.
Bottom Line
Nvidia reportedly made a $12.9 billion move for Hugging Face, and the strategic logic is easy to see. The status is harder. Conflicting reports and the absence of an official announcement mean readers should treat this as a reported transaction, not a completed acquisition.
FAQ
Did Nvidia officially buy Hugging Face?
No official acquisition announcement had been published by Nvidia or Hugging Face when this article was prepared.
How much is Nvidia reportedly paying?
The Information reported $12.9 billion, while separate reporting described discussions above $13 billion.
Why does Nvidia want Hugging Face?
Hugging Face could expand Nvidia’s access to developers, open models, datasets and AI software distribution.
Could a deal hurt Hugging Face’s neutrality?
It could create concerns because Hugging Face supports competing hardware ecosystems, but no confirmed post-deal policy has been announced.
