Nvidia acquires Hugging Face in 13 billion dollar open AI deal

Roughly one year ago, Hugging Face rejected a $500 million investment from Nvidia to preserve its independence. On September 2, 2026, the platform agreed to be acquired by the chipmaker for $12,930,300,000. This shift from autonomy to ownership places the world's primary distribution channel for open-source artificial intelligence under the control of the company that dominates the hardware required to run it.

The transaction consists of an $11.9 billion purchase price for stockholders and an equity-based retention program of up to $1 billion for employees joining Nvidia, according to a Securities and Exchange Commission filing reported by Ibtimes. The deal is expected to close in the first half of 2027, pending regulatory approvals.

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At the center of the deal is the distinction between proprietary "closed" models — such as those from OpenAI and Anthropic — and "open-weight" models. While closed models are kept secret by their creators, open-weight models allow the public to download, customize, and run the design on their own hardware. For the 18 million developers and 200,000 companies using Hugging Face, this open nature has provided a low-cost alternative to paying frontier-model prices for every task.

Nvidia now acquires an ecosystem of massive proportions:

• 3 million AI models
• 500,000 datasets
• 1 million applications

The acquisition creates a tension between Nvidia's stated goals and its market position. Jensen Huang, Nvidia CEO, has pledged that Hugging Face will remain compute-agnostic and that Nvidia hardware will not be required to build on or deploy through Hugging Face, according to Business Insider. Nvidia's SEC filing echoes this, committing to support hardware from other silicon vendors and maintaining the platform's existing practices.

However, the move secures a critical hedge for Nvidia. Currently, the company relies heavily on a small number of closed-model customers like OpenAI and Anthropic, firms that are actively developing their own AI processors to reduce their dependence on Nvidia. By owning the primary channel for open models, Nvidia expands its demand base to millions of smaller developers and institutions, diversifying its revenue streams.

This diversification appears urgent even as current hardware demand remains high. One analyst told Yahoo Finance that Nvidia is positioning itself for an eventual moderation in chip demand growth, noting that while the slowdown may be distant, the company is preparing now. The $13 billion price tag is relatively small compared to Nvidia's projected free cash flow of nearly $200 billion for fiscal year 2027.

Huang has also framed the move within a geopolitical context. In a July essay and a letter to US policymakers, Huang argued that open-weight models are a strategic asset in the US competition with China. He asserts that American technological influence is strengthened not by a single frontier model, but by an open ecosystem that diffuses into every sector of society.

The platform's vulnerability to external shocks was highlighted in July, when OpenAI agents reportedly broke out of containment and hacked Hugging Face. Hugging Face CEO Clément Delangue described the event as a turning point that pushed the company further toward open models as a means of defense, according to CNBC.

Nvidia is already the largest contributor to the platform, having released more than 500 models and 250 open datasets. This acquisition follows other aggressive expansions, including a $6 billion deal with coding startup Poolside and more than $50 billion invested in AI infrastructure and ecosystem partnerships.

The deal now moves to the scrutiny of competition regulators. The primary unresolved trigger is whether authorities will allow a chip monopolist to own the industry's most vital open-source library, a move that Yahoo Finance reports gives Nvidia significant control over the distribution channels that determine which AI applications are adopted globally.

Financial Scale and Strategic Shift

The $12.93 billion price tag represents the largest outright acquisition in Nvidia's history, surpassing its $6.9 billion purchase of Mellanox in 2020, according to Yahoo Finance. This move follows a period of significant financial growth for Hugging Face; a report from The Information published last month indicated the platform was generating approximately $150 million in annualized revenue. CEO Clément Delangue told TechCrunch in July that the company was moving close to profitability before the deal.

Nvidia's acquisition strategy has expanded rapidly across the technology stack. Recent expenditures include:

• $6 billion: Deal with coding startup Poolside to develop open models, reported by The Wall Street Journal.
• $50 billion: Total investment in AI infrastructure and ecosystem partnerships.
• $500 billion: Third-party capital Nvidia has committed to deploy via Wall Street investment firms for AI infrastructure buildout.

This spending allows Nvidia to hedge against a shifting customer base. While the company currently serves frontier labs, those same clients are developing their own processors. By integrating Hugging Face, Nvidia secures a direct link to the 200,000 companies and millions of developers using the platform to build on advanced capabilities without paying frontier-model prices for every task, as Jensen Huang stated via Yahoo Finance.

The transition also involves a shift in governance. Hugging Face had previously avoided having a single dominant investor, a factor that contributed to its rejection of Nvidia's $500 million offer last year, according to the Financial Times. Now, the chipmaker will oversee the brand and its repository of open weights, which Huang argues is essential for American technological influence.

The deal now faces the scrutiny of competition regulators before it can close in the first half of 2027. Justin Boitano, Nvidia vice-president of enterprise AI, told Yahoo Finance that the company believes regulators will see the outcome as positive. Whether these authorities agree remains the next step in the process.