Nvidia (NVDA) is making one of its biggest moves yet beyond chips, with plans to acquire AI developer platform Hugging Face for $12.93 billion. The deal gives the semiconductor giant a powerful foothold in open-source AI while expanding its influence across the software and development tools surrounding its GPUs.
The strategy is particularly important as Nvidia’s biggest customers increasingly develop their own AI chips. By moving closer to millions of developers and thousands of companies building AI applications, Nvidia is looking to broaden its customer base while protecting the enormous hardware business at the center of its growth.
Hugging Face Gives Nvidia a Massive Developer Network
Hugging Face has become one of the most important platforms for open AI development. More than 18 million developers, researchers and creators use the platform, which hosts over 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies also use Hugging Face to discover, customize and deploy AI models.
Nvidia plans to use its infrastructure and resources to help the platform scale while improving areas including model evaluation, inference and deployment. The acquisition is a major jump from Hugging Face’s $4.5 billion valuation in 2023. Recent reports put its annualized revenue at roughly $150 million, making the nearly $13 billion price tag largely a bet on its strategic importance rather than current earnings.
Nvidia Wants to Be More Than a Chip Company
The deal fits Nvidia CEO Jensen Huang’s broader effort to make the company indispensable across the entire AI ecosystem. That strategy is becoming more important as companies including Google, Amazon and OpenAI develop custom chips that could reduce their reliance on Nvidia hardware.
A thriving ecosystem of independent developers and open models could create a much larger pool of customers still requiring enormous amounts of computing power. Hugging Face could also give Nvidia valuable insight into which models, datasets and architectures are gaining traction, allowing it to identify emerging AI trends much earlier.
Nvidia Promises Hugging Face Will Stay Open
One potential concern is whether Nvidia could eventually favor its own GPUs and software on a platform known for supporting competing technologies. Huang has explicitly said Hugging Face will remain open and that developers will continue to choose their preferred models, frameworks, cloud providers, and hardware.
Nvidia compute will not be required to build or deploy models through the platform. Maintaining that neutrality will be critical. Much of Hugging Face’s value comes from its position as a widely trusted home for open AI rather than a marketplace tied to one hardware company.
OpenAI Becomes a Bigger Part of Nvidia’s Strategy
The acquisition also places Nvidia more directly against the closed-model approach associated with companies such as OpenAI and Anthropic. Nvidia has already released more than 500 models and 250 datasets through Hugging Face and has invested heavily in frontier AI labs.
Supporting open models could expand the number of companies building their own AI systems, and, in turn, increase demand for the computing infrastructure Nvidia sells. That makes the Hugging Face purchase less about generating immediate software revenue and more about ensuring Nvidia remains central to AI development regardless of which models ultimately win.
Looking Ahead
Investors will be watching whether Nvidia can preserve Hugging Face’s independence while using its scale to accelerate the platform’s growth. Any perception that Nvidia is steering developers toward its own products could undermine the neutrality that helped make Hugging Face so valuable. But the broader strategy is clear. Nvidia is no longer content to dominate the chips powering the AI boom; it increasingly wants a stake in the ecosystem being built on top of them. Hugging Face gives the company direct access to millions of developers, potentially strengthening Nvidia’s position even as competition for AI hardware intensifies.