Nvidia has agreed to acquire Hugging Face for approximately $12.93 billion, placing one of the artificial intelligence industry’s most important open-model platforms under the ownership of the company that already dominates the market for advanced AI computing hardware. The transaction turns previously reported acquisition discussions into a definitive deal and gives the Santa Clara, California-based chipmaker a much larger role in the software infrastructure used by developers to distribute, test, customize and deploy AI models.

According to Nvidia’s filing with the U.S. Securities and Exchange Commission, the company entered into a definitive agreement on Sept. 2. The transaction includes approximately $11.9 billion payable to Hugging Face stockholders, subject to adjustments, along with an equity-based retention program of as much as $1 billion for Hugging Face employees who join Nvidia. Nvidia expects the transaction to close in the first half of 2027 after required regulatory approvals and other customary closing conditions are satisfied.

The price reflects the strategic importance of Hugging Face far more than a conventional software acquisition based only on current revenue. Hugging Face has developed into a central repository and collaboration platform for the open AI ecosystem. Nvidia says more than 18 million developers, researchers and creators use the service, which hosts more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI systems.

For Nvidia, that developer reach creates a strategic bridge between the company’s semiconductor business and the increasingly important model and application layers of AI. Nvidia’s GPUs remain fundamental to the training and operation of many large AI systems, but the industry is also expanding into a broader mix of inference workloads, specialized accelerators, enterprise deployments and open models that organizations can modify themselves. Owning Hugging Face could give Nvidia closer visibility into how developers are using those models and which types of AI workloads are gaining traction.

The potentially sensitive part of the deal is Hugging Face’s neutrality. Its platform is useful precisely because developers can work with models and infrastructure from many different companies. Nvidia is therefore promising that ownership will not turn Hugging Face into an exclusive channel for its own GPUs or software. Huang said developers will remain free to choose their models, frameworks, cloud providers, inference services and computing platforms, and that Nvidia hardware will not be required to build or deploy through Hugging Face.

Nvidia also said Hugging Face will continue supporting open-source and open-weight models from across the industry and will preserve multicloud and multi-accelerator development. The company’s SEC filing similarly states that Hugging Face would continue allowing users to upload and download models and datasets of their choosing while supporting silicon suppliers other than Nvidia. Those commitments are likely to receive close attention from customers, developers and regulators because a perceived shift toward preferential treatment could weaken the ecosystem Nvidia is paying nearly $13 billion to acquire.

The transaction strengthens Nvidia’s position in an increasingly important divide within artificial intelligence. Closed-model developers generally provide access to powerful systems through proprietary interfaces or hosted services. Open-weight models, by contrast, give businesses, researchers and developers substantially more ability to download, adapt and operate models themselves. Nvidia has argued that this approach can broaden adoption by allowing organizations to select and customize models for particular industries and computing environments.

That strategy is not entirely new for Nvidia. Huang said the company has already released more than 500 models and more than 250 open datasets on Hugging Face. Nvidia describes itself as a major contributor to the platform and has increasingly developed models, libraries and AI tooling intended to encourage workloads that ultimately run across Nvidia-powered infrastructure. The acquisition would give it an ownership position in the distribution platform itself rather than merely participating as one of many contributors.

The deal also illustrates how Nvidia is deploying the financial resources generated by surging demand for AI computing. The company has spent recent years moving beyond the identity of a traditional chip designer, building software libraries, networking products, AI models, cloud partnerships and developer tools around its hardware. Hugging Face adds a large existing community whose activity spans startups, universities, technology companies and enterprise users, potentially widening Nvidia’s influence over how AI applications move from experimentation into production.

But regulatory and policy risks could complicate that strategy. In its SEC filing, Nvidia warned that governments could impose new requirements on the development, release, distribution, transfer or use of AI models. The company specifically noted that restrictions affecting open-source models or models originating in particular regions could alter what is available through Hugging Face, increase compliance costs or limit the benefits Nvidia expects from the acquisition.

The filing also underscores the international nature of the platform. Nvidia said many widely used open-source models originate outside the United States and are subsequently downloaded, modified, fine-tuned and evaluated by developers in the U.S. and elsewhere. That makes Hugging Face both a valuable global development hub and a potential point of friction as governments increasingly consider rules governing advanced AI models, export controls, cybersecurity and access to computing infrastructure.

Independent reporting has characterized the purchase as a major endorsement of open AI. The Associated Press reported that Nvidia’s move highlights the chipmaker’s effort to support open-source models as an alternative to relying exclusively on proprietary AI services. The central question after the announcement is whether Nvidia can preserve the openness and broad hardware compatibility that made Hugging Face valuable while also integrating the platform more closely with its own expanding AI business.

For Silicon Valley, the transaction represents another shift in the AI competition from individual chips and frontier models toward control of the platforms developers use every day. Nvidia already sits at the center of the computing layer. With Hugging Face, it is making a multibillion-dollar bet that influence over the open-model ecosystem will be just as important as selling the processors on which much of that ecosystem runs.