Nvidia acquires Hugging Face in a transaction valued at $12.93 billion, marking the chipmaker’s largest corporate purchase to date, according to Ars Technica. The agreement brings the prominent open-source model repository directly under the hardware supplier as it expands developer infrastructure worldwide.
The platform hosts 3 million primarily open artificial intelligence models, 500,000 datasets, and 1 million applications. More than 18 million developers and 200,000 corporate teams currently rely on the service to access, fine-tune, and share machine learning tools across diverse development environments.
Terms Behind the Acquisition
Under the terms of the agreement, the 10-year-old New York startup will continue operating under its established brand name and leadership structure. Nvidia confirmed that the platform will maintain its open architecture without requiring users to purchase proprietary hardware to build, evaluate, or host software applications.
“Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want.”
Jensen Huang, Chief Executive Officer of Nvidia
Strategic Impact of Open Weights
The purchase surpasses Nvidia’s 2020 purchase of Mellanox for $6.9 billion, which anchored its data center networking division. Furthermore, as Nvidia acquires Hugging Face, the semiconductor company secures direct access to an active distribution network for enterprise software tools, pre-trained weights, and collaborative developer workflows.
Hugging Face previously raised $395 million from investors, including Amazon and Alphabet, achieving an annualized revenue rate of $150 million. In addition, company executives confirmed that open models play an active role in defending network infrastructure against digital threats in modern cybersecurity environments.
Why Nvidia Acquires Hugging Face
Open-weight systems allow organizations to run advanced software on independent data center hardware rather than paying recurring fees to closed API providers. Consequently, broadening distribution for public models helps Nvidia generate steady commercial demand for its specialized graphic processors and server systems in the broader economy.
Regulatory Review and Timeline
The transaction is expected to conclude by 2027, subject to standard regulatory approvals in multiple jurisdictions. While antitrust authorities continue to examine large acquisitions in the technology sector, company representatives stated that maintaining platform neutrality and broad vendor independence will support a favorable regulatory outcome throughout the formal review process.
