Nvidia has been in talks to acquire Hugging Face for more than $13 billion

Nvidia has agreed to acquire open-source AI platform Hugging Face for $12.9 billion, securing control of a central repository used by millions of developers. The landmark deal brings together the dominant chipmaker and a foundational ecosystem hub as major tech firms race to secure alternative AI infrastructure and manage hardware dependencies.

The artificial intelligence industry is watching a massive consolidation play unfold as Nvidia moves to solidify its grip on the developer ecosystem. Reports surfaced late Wednesday that the chip giant has reached an agreement to buy Hugging Face for $12.9 billion, according to The Information. While initial accounts from Business Insider described ongoing negotiations valuing the company above $13 billion with a real chance of collapse, the reported deal represents a staggering valuation leap for a platform that serves as the town square for open-source machine learning.

Valuation Milestones and Previous Rejections

The agreed price tag marks a dramatic escalation from Hugging Face’s financial standing in recent years. The New York-based platform, founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf, raised $235 million in a 2023 funding round that valued the business at $4.5 billion. That earlier round included participation from Salesforce Ventures, Alphabet’s Google, IBM Ventures, and Nvidia itself.

Hugging Face’s independence has not been for sale cheaply or easily. Late last year, the platform turned down a $500 million investment offer from Nvidia that would have valued the company at $7 billion. Leadership at Hugging Face balked at taking on a dominant single investor capable of swaying governance decisions. With annualized revenue recently reported at $150 million—up from roughly $100 million just two months prior—the $12.9 billion acquisition price represents a nearly threefold jump from its 2023 valuation.

Protecting Dominance Amid Open-Source Shifts

Nvidia’s aggressive dealmaking is driven by changing dynamics in the AI marketplace. Major closed-source labs including OpenAI, Amazon, Google, and Anthropic are actively building custom AI silicon to reduce their reliance on Nvidia’s graphics processing units. By acquiring Hugging Face, Nvidia gains a direct foothold over the millions of developers who rely on open-source models rather than closed proprietary systems.

The logo of Nvidia is seen during a press reception on Japan
Photo: Reuters

Owning the primary repository for open-source models allows Nvidia to steer workloads directly toward its hardware.

The Neutrality Question and Hardware Agnosticism

The central tension of the acquisition lies in Hugging Face’s reputation for strict neutrality. The platform currently hosts models and hardware support spanning the entire industry, including accelerators built by Nvidia competitors such as AMD and Intel. Industry observers have raised immediate questions about whether developers will continue to view the repository as an independent public resource once it is owned by the world’s largest AI chip manufacturer.

Nvidia has been in talks to acquire Hugging Face for more than $13 billion
Photo: TechCrunch

“Buying the referee is a different move from sponsoring it.”

Cryptopolitan analysis

Chief Executive Officer Clem Delangue has spent much of the year publicly aligned with Nvidia’s open-source advocacy, pointing to joint letters urging governments to support open models over regulatory restrictions. However, transitioning from an ecosystem partner to a wholly owned subsidiary fundamentally alters the governance structure that guarded that neutrality.

Financial Firepower and Cloud Strategy

Nvidia is positioned to absorb the multibillion-dollar expense comfortably.

Nvidia Wants to Buy Hugging Face for $13 Billion? AI Shakeup
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Sophie Lin - Technology Editor

Sophie is a tech innovator and acclaimed tech writer recognized by the Online News Association. She translates the fast-paced world of technology, AI, and digital trends into compelling stories for readers of all backgrounds.

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