NVIDIA has agreed to acquire Hugging Face in a transaction valued at $12.93 billion, bringing a major open-model developer platform under the AI chipmaker’s ownership. The deal is expected to close in the first half of 2027. Here is what the terms, platform scale and openness commitments mean for developers and the broader AI ecosystem.
Key Takeaways
- NVIDIA announced the agreement to acquire Hugging Face on September 3, 2026, in a transaction valued at $12.9303 billion.
- The transaction includes approximately $11.9 billion payable to Hugging Face stockholders and up to approximately $1 billion in an equity-based employee retention program.
- More than 18 million developers, researchers and creators use Hugging Face, which hosts more than 3 million models, 500,000 datasets and 1 million applications, according to NVIDIA.
- NVIDIA has committed to keeping Hugging Face open to different models, frameworks, cloud services and computing platforms, including hardware from other vendors.
- NVIDIA expects the transaction to close in the first half of 2027, subject to regulatory approvals and other customary closing conditions.
NVIDIA Hugging Face Acquisition Extends Its AI Reach
NVIDIA announced on September 3 that it had agreed to acquire Hugging Face in a transaction valued at $12,930,300,000. The deal would give NVIDIA ownership of one of the most widely used platforms for finding, sharing, evaluating, customizing and deploying artificial intelligence models.
The transaction represents an expansion of NVIDIA’s position beyond AI computing hardware and into a developer ecosystem that connects models, datasets, applications and deployment tools. Reuters, the Financial Times and The Wall Street Journal independently confirmed the deal following NVIDIA’s announcement.
The agreement follows earlier indications that Hugging Face was considering strategic options. An earlier Hugging Face sale process had been reported at a potential valuation of $13 billion or more before NVIDIA announced the transaction.
Hugging Face had previously been valued at $4.5 billion during a 2023 funding round. Investors in the company have included NVIDIA, Salesforce, Google and other major technology companies. Reuters reported that the acquisition would rank among NVIDIA’s largest purchases and significantly expand its role in the open-model AI ecosystem.
The Deal Includes Purchase and Retention Components
NVIDIA’s regulatory filing provides more detail on how the $12.93 billion transaction is structured.
According to the filing, approximately $11.9 billion will be payable to Hugging Face stockholders, subject to certain adjustments. NVIDIA also established an equity-based retention program worth up to approximately $1 billion for Hugging Face employees who join NVIDIA.
That distinction is important because the full $12.93 billion figure is not simply a cash purchase price paid to current shareholders.
NVIDIA expects the acquisition to close in the first half of 2027. Completion remains subject to customary closing conditions, including required regulatory approvals.
Until those conditions are satisfied and the transaction closes, Hugging Face remains a separate company.
Hugging Face Brings a Large AI Developer Ecosystem
The scale of Hugging Face is central to the strategic significance of the acquisition.
NVIDIA said more than 18 million developers, researchers and creators use Hugging Face. The platform hosts more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use it to discover, evaluate, customize and deploy AI systems.
Those figures make Hugging Face more than a model repository. Its platform connects model creators with developers and organizations looking to evaluate and deploy artificial intelligence across research and commercial applications.
Hugging Face supports models from a wide range of developers and organizations. Its ecosystem includes open-source and open-weight models that can be accessed, adapted and deployed through different infrastructure configurations.
The acquisition therefore gives NVIDIA a larger role in the software and developer layers of artificial intelligence, complementing its existing position in GPUs, networking systems, AI libraries and computing infrastructure.
That broader developer footprint also comes as major companies increase spending on AI systems and deployment. Investments in U.S. AI infrastructure research illustrate how semiconductor companies are directing substantial resources toward the computing, memory and architecture requirements created by growing AI workloads.
NVIDIA Plans to Expand Hugging Face Infrastructure
NVIDIA said it intends to use its engineering resources, computing infrastructure and global reach to scale Hugging Face following completion of the acquisition.
The company identified reliability, safety, model evaluation, inference and deployment as areas where additional resources could strengthen the platform.
The two companies already had an established relationship before the proposed acquisition.
According to NVIDIA, it has released more than 500 models and more than 250 open datasets through Hugging Face. NVIDIA also became an enterprise customer of the platform before announcing the deal.
That existing relationship means the transaction would combine organizations that were already working across several parts of the AI development ecosystem.
NVIDIA supplies much of the computing infrastructure used to train and run modern AI models. Hugging Face operates a platform through which developers can find models and datasets, test them, customize them and prepare them for deployment.
Bringing those capabilities under one corporate owner would give NVIDIA a more direct connection to developers working at stages of the AI process beyond hardware procurement.
Hugging Face Is Expected to Retain Its Open Platform Model
NVIDIA has made platform openness one of the central commitments surrounding the transaction.
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The company said Hugging Face will continue allowing developers to choose their models, frameworks, cloud providers, inference services and computing platforms.
NVIDIA CEO Jensen Huang stated that “NVIDIA compute will not be required to build on or deploy through Hugging Face.”
The company’s SEC filing reinforces that commitment. NVIDIA said Hugging Face would continue allowing users to upload and download models and datasets of their choosing and would continue supporting other silicon vendors.
The commitment matters because NVIDIA is also the leading supplier of advanced computing hardware used for many AI workloads.
Reuters reported that the combination has raised questions about whether NVIDIA could eventually favor its own hardware within the Hugging Face ecosystem, even as the company promises to preserve hardware neutrality.
For developers and competing infrastructure providers, NVIDIA’s implementation of its openness commitments after closing will therefore be an important part of assessing the acquisition’s long-term impact.
Open Models Sit at the Center of NVIDIA’s Strategy
NVIDIA has increasingly emphasized open and open-weight models as part of its broader AI strategy.
Unlike fully proprietary AI services, open-weight models generally allow developers to access model parameters and customize systems for particular applications. That can give businesses, researchers and public institutions greater flexibility in how models are deployed.
Huang has argued that open models can broaden participation in AI development by allowing organizations to build on existing technology rather than developing every model from the beginning.
The Financial Times reported that the Hugging Face transaction could strengthen NVIDIA’s position in this part of the market by giving it ownership of a platform that serves as a major distribution and collaboration hub for open models.
NVIDIA’s interest extends beyond model hosting. Its business increasingly spans chips, networking, cloud infrastructure, software libraries, development tools and its own AI models.
The Hugging Face acquisition would add another layer by placing a major model-development community and platform within that portfolio.
Hugging Face Will Keep Its Brand and Team
NVIDIA said Hugging Face will retain its brand following completion of the transaction.
Hugging Face was founded by Clément Delangue, Julien Chaumond and Thomas Wolf. The company began in 2016 and later developed into a major platform for open AI models, datasets and machine-learning collaboration.
Huang said the Hugging Face team will join NVIDIA as part of the transaction.
The employee retention component of the agreement provides up to approximately $1 billion in equity-based compensation for employees joining NVIDIA, according to the regulatory filing.
That structure indicates that retaining Hugging Face’s workforce and technical expertise is a significant part of the proposed combination, rather than the transaction being limited to acquiring the platform and its technology.
The Deal Extends NVIDIA Beyond AI Hardware
The NVIDIA Hugging Face acquisition would place a widely used AI developer platform alongside NVIDIA’s existing computing, networking, software and model businesses.
For NVIDIA, the transaction expands its presence at the point where developers choose and evaluate models rather than only where organizations purchase the infrastructure used to train and run them.
For Hugging Face users, the immediate issue is whether the platform continues operating with the same degree of model, cloud and hardware choice after ownership changes.
NVIDIA has made explicit commitments on those points, including continued support for competing silicon providers. The acquisition, however, remains pending until regulatory requirements and other closing conditions are satisfied.
If completed as expected in the first half of 2027, the transaction will make NVIDIA the owner of a platform used by more than 18 million AI developers, researchers and creators while testing whether a major hardware provider can preserve the neutrality of an open-model ecosystem under its ownership.
Frequently Asked Questions
What is the NVIDIA Hugging Face acquisition?
The NVIDIA Hugging Face acquisition is a proposed transaction valued at $12.9303 billion in which NVIDIA has agreed to acquire the AI developer platform Hugging Face. The deal was announced on September 3, 2026, and remains subject to regulatory approvals and other closing conditions.
How much is NVIDIA paying for Hugging Face?
NVIDIA described the transaction as valued at $12,930,300,000. Its SEC filing says approximately $11.9 billion will be payable to Hugging Face stockholders, while up to approximately $1 billion is allocated to an equity-based employee retention program.
When will NVIDIA complete the Hugging Face acquisition?
NVIDIA expects the transaction to close in the first half of 2027. The closing remains subject to customary conditions, including required regulatory approvals.
Will Hugging Face remain open after the acquisition?
NVIDIA says Hugging Face will continue supporting different models, frameworks, cloud providers, inference services and computing platforms. NVIDIA has also committed to supporting other silicon vendors and said its own computing technology will not be required to build or deploy through Hugging Face.
How large is the Hugging Face platform?
NVIDIA says Hugging Face serves more than 18 million developers, researchers and creators and more than 200,000 companies. The platform hosts more than 3 million models, 500,000 datasets and 1 million applications.
