Nvidia has reached an agreement to buy Hugging Face, the widely used platform for sharing and deploying open-source artificial intelligence models, for approximately $12.9 billion, according to reports citing a person familiar with the matter. Neither company has publicly confirmed the transaction, and independent verification remains pending.

If completed, the deal would rank among Nvidia’s largest acquisitions and place one of the central distribution points for open AI models under the control of the dominant supplier of AI accelerators. Hugging Face hosts millions of public models, datasets, and tools that developers across the industry rely on, regardless of the underlying hardware.

Platform Scale and Strategic Fit

Hugging Face has grown into a core piece of open-source AI infrastructure. Its community includes roughly 13 million users and more than two million public models. The platform also provides libraries, datasets, and demo spaces that have become standard tools for loading, testing, and running models.

The reported price stands in sharp contrast to the company’s recent financial profile. Hugging Face is generating about $150 million in annualized revenue, up from roughly $100 million only months earlier. At the stated valuation, the multiple approaches 86 times that revenue figure, underscoring the strategic rather than purely financial nature of the transaction.

Nvidia already participated in Hugging Face’s 2023 funding round, which valued the company at $4.5 billion and raised $235 million. Last year, Hugging Face turned down a proposed $500 million investment from Nvidia that would have valued it at $7 billion, citing a preference to avoid giving any single investor excessive influence. The current reported agreement marks a substantial increase from both earlier markers.

Implications for Neutrality and Competition

Hugging Face has operated as a hardware-neutral hub, supporting models and workloads that run on chips from Nvidia as well as rivals such as AMD and Intel. Ownership by the leading GPU maker raises questions about whether that neutrality can be preserved.

Control of the repository would give Nvidia deeper visibility into developer activity and a potential avenue to guide more workloads toward its own processors, software stack, and cloud offerings. The company already dominates AI training and inference hardware. Combining that position with ownership of the primary open-model distribution layer would tighten its grip across the full pipeline from silicon to model access.

The move arrives as competition intensifies on multiple fronts. Closed-model developers including OpenAI and Anthropic are exploring custom chips to reduce reliance on Nvidia hardware. At the same time, open-weight models from Chinese labs have narrowed performance gaps with leading Western systems on public benchmarks. Nvidia has publicly supported open-source AI development and joined industry efforts opposing restrictive regulations on open-weight releases.

Financial Backdrop and Market Context

Nvidia’s capacity to fund the purchase is substantial. In its most recent quarter the company reported $96.2 billion in revenue, more than double the year-earlier figure, with data-center sales accounting for $89 billion. Management has guided for continued strong growth and maintains significant capital for strategic investments.

Shares of Nvidia moved higher in extended trading following the combination of strong earnings results and the acquisition reports. The transaction would also fit a broader pattern of companies securing critical layers of AI infrastructure, as seen in other recent deals involving model routing and distribution platforms.

For developers, open-weight licenses themselves would remain unchanged. Models published under permissive terms would still be usable outside the platform. What could shift is the default path for discovery, fine-tuning, and deployment, potentially favoring Nvidia-hosted services and tooling. Model builders would face a hosting layer operated by a company that also supplies many of their competitors with hardware.

Hugging Face and Nvidia have not issued statements on the reports. Until any agreement is formally announced and closed, the precise terms, timeline, and conditions remain unconfirmed.