Nvidia Agrees to Buy Hugging Face for $12.9303 Billion, Targets 2027 Close
Key Facts
Nvidia agreed on September 2, 2026, to buy Hugging Face in a transaction with an announced total value of $12.9303 billion. The deal has not closed; Nvidia expects completion in the first half of 2027, subject to customary conditions and required regulatory approvals.
Nvidia’s filing says the transaction includes an approximately $11.9 billion purchase price for Hugging Face stockholders, subject to certain adjustments, and an equity-based retention program of up to approximately $1.0 billion for employees joining Nvidia. The $12.9303 billion total therefore is not a single cash payment to stockholders.
The deal’s commercial significance stems from the scale of the Hugging Face community. Nvidia says more than 18 million developers, researchers and creators use the platform, which carries 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 models.
Hugging Face: deal value and platform scale
A $12.9303 billion transaction over an open, multi-cloud, multi-accelerator network

Nvidia has committed to keeping Hugging Face open. According to the announcement, users will remain free to choose their models, frameworks, clouds, inference-service providers and computing platforms, and Nvidia hardware will not be required to build on or deploy through Hugging Face. The platform will also continue supporting multi-cloud and multi-accelerator development and deployment.
Nvidia says it has already released more than 500 models and more than 250 open datasets on Hugging Face. If the deal closes, the platform could expand Nvidia’s reach to developers through the software layer, while Nvidia’s engineering and infrastructure resources could help Hugging Face improve reliability, evaluation, inference and deployment at greater scale.
Regulatory approvals and the other steps required for closing come next. Nvidia’s filing warns that new government restrictions on the development, distribution or use of open-source models could reduce the models and datasets available, require platform changes or impose compliance costs, potentially delaying the expected benefits of the transaction.