Nvidia is reportedly on the verge of acquiring AI model-sharing platform Hugging Face for about $12.9 billion. Though the deal isn’t finalized, sources say the acquisition would value Hugging Face at just over $13 billion. Neither company has officially confirmed the deal yet.
Why Nvidia Wants Hugging Face
Hugging Face has become a major hub for developers to access and share open-source AI models since its founding in 2016. Owning the platform would give Nvidia a powerful position in the open-source AI ecosystem just as rivals and regulators increasingly emphasize transparency and competition in model development.
One of Nvidia’s long-term strategies is to maintain leadership in AI hardware. Yet some of its biggest competitors—OpenAI, Google, Amazon, Anthropic—are building their own chips to reduce reliance on Nvidia’s GPU-based infrastructure. By acquiring Hugging Face, Nvidia could help ensure that open-source models—and their users—depend on its hardware, counteracting the push toward closed-source systems.
Financial Stakes and Cloud Strategy
Hugging Face isn’t huge in revenue terms—about $150 million annually, having grown from roughly $100 million just a couple months prior. But its growth has brought it close to profitability.
This deal could also mark Nvidia’s re-entry into cloud services. It once scaled back its DGX Cloud business, but Hugging Face already supports model users through cloud infrastructure. That existing setup might offer Nvidia a channel to manage excess cloud capacity and benefit financially from underused computing assets.
In recent years Hugging Face declined a $500 million investment offer from Nvidia that valued the company at around $7 billion, citing concerns about ceding influence rather than giving control. But a complete acquisition is a different proposition.
The valuation reflects a massive jump from its 2023 fundraising of $235 million, when it was pegged at about $4.5 billion. Getting acquired at $13 billion would be a major windfall for Hugging Face and its backers.
CEO Clem Delangue has publicly aligned with Nvidia’s push for open models, including urging the U.S. government to support open-weight models amid growing scrutiny over closed systems and national security. In recent public interviews and an open letter with Nvidia and others, Delangue has highlighted concerns about China’s growing influence in open-source AI—issues closely related to what acquisition by Nvidia could address.
Despite Nvidia’s quick reputation for commenting on rumors it considers wrong, both companies have remained silent in this case. There’s no signed agreement yet, and the deal could still fall apart.
This proposed acquisition, if completed, would reinforce Nvidia’s strategy of investing heavily in both AI chips and open-source models, helping to secure its influence across the full stack of AI development—from hardware to community-driven model sharing.
What it means:For Nvidia, adding Hugging Face under its wing could not only defend its hardware dominance but also anchor it deeply in the open-source culture of AI. Rivals building custom chips may give them control over infrastructure, but open models ensure broad hardware demand. For Hugging Face, this could offer financial security and scale—though it may also challenge its independent ethos. Observers should watch closely for regulatory scrutiny, especially around antitrust concerns and how this might affect competition in AI infrastructure and open-source governance.
