Nvidia Agrees to Acquire Hugging Face for $12.93 Billion in Major Open-AI Deal

SANTA CLARA, UNITED STATES — Nvidia’s planned acquisition would bring one of the world’s largest open-model developer platforms under the AI-chip leader while preserving access to rival hardware.

Nvidia has entered a definitive agreement to acquire Hugging Face in a transaction valued at approximately $12.93 billion, extending the chipmaker’s reach into a platform used by millions of developers to build, distribute and deploy artificial-intelligence models.

The agreement was entered into on September 2 and announced on September 3. Nvidia’s filing with the U.S. Securities and Exchange Commission says the transaction is expected to close in the first half of 2027, subject to required regulatory approvals and other customary closing conditions. Until then, Hugging Face remains a separate company.

The transaction includes an approximately $11.9 billion purchase price payable to Hugging Face shareholders, subject to adjustments, and an equity-based retention programme worth up to approximately $1 billion for Hugging Face employees who join Nvidia.

The deal places a major part of the open-model AI ecosystem inside a company whose graphics processors and accelerated-computing systems underpin much of the current AI industry. Nvidia says more than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications, while more than 200,000 companies use the platform.

Nvidia pledges to preserve access to rival AI hardware

The most consequential question for developers is whether Hugging Face will continue operating as a hardware- and model-neutral platform after the acquisition.

Nvidia has made an explicit commitment that it will. The company 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. It also said the platform would continue supporting open-source and open-weight models from different developers, alongside multi-cloud and multi-accelerator deployment.

That commitment matters because Hugging Face functions as infrastructure for an AI ecosystem that extends well beyond Nvidia. Its users can access and deploy models across different computing environments, including systems based on processors supplied by Nvidia competitors.

The SEC filing specifically says Hugging Face would continue allowing developers and users to upload and download models and datasets of their choosing and would continue supporting other silicon vendors.

Reuters reported that the acquisition could deepen Nvidia’s position in open AI at a time when some of its largest customers are developing their own chips. The deal therefore gives Nvidia a broader presence in the developer ecosystem without relying exclusively on demand for its processors.

Hugging Face gives Nvidia a position closer to AI developers

The strategic significance extends beyond the purchase price. Hugging Face has become a central distribution and development hub for open models, datasets and AI applications, meaning the acquisition would give Nvidia ownership of infrastructure used well before workloads reach a particular chip or cloud provider.

Nvidia is already an active participant in that ecosystem. Chief executive Jensen Huang said the company has released more than 500 models and more than 250 open datasets through Hugging Face and described Nvidia as the platform’s largest contributor of open models and data.

Associated Press reported that the transaction highlights Nvidia’s push into increasingly important open-source AI models, which allow developers and organisations to modify and deploy technology rather than depend entirely on proprietary AI services.

For developers, however, ownership and interoperability are separate questions. Nvidia’s commitments establish its stated post-acquisition policy, but the practical effects on hardware neutrality, model distribution and competition cannot be established before the deal closes and the combined company begins operating.

Regulatory review is the next major hurdle

Nvidia’s own filing identifies regulation as a material risk to the acquisition. The company said governments could introduce requirements affecting the development, release, distribution or use of open-source AI models, potentially restricting models or datasets available through Hugging Face or increasing compliance costs.

The filing also highlights the international nature of the platform. Nvidia said many widely used open-source models originate in China before being downloaded, modified, fine-tuned and tested by developers in the United States and elsewhere, warning that restrictions based on where models originate could affect both Hugging Face and Nvidia.

The transaction therefore remains an agreement rather than a completed acquisition. Regulatory approval and other closing conditions must be satisfied before Nvidia takes control, with the company currently targeting the first half of 2027 for completion.