Nvidia has finalized a deal to acquire the open‑source artificial‑intelligence platform Hugging Face for an enterprise value of about $12.9 billion. According to a report from BBC News, the bulk of the purchase price—approximately $11.9 billion—will be paid directly to the investors who currently hold stakes in Hugging Face, while Nvidia is also prepared to set aside as much as $1 billion in stock‑based incentives designed to retain key talent and align their interests with the long‑term success of the combined entity. The acquisition brings together two of the most influential players in the modern AI ecosystem.
Hugging Face, founded in 2016 in New York City by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf, has become the de‑facto hub for developers, researchers, and enterprises that work with large language models, transformer architectures, and a broad range of open‑source machine‑learning tools. Over the past several years, the company has attracted strategic investment from a number of technology heavyweights, including Amazon, AMD, and Intel, each of which sees value in the platform’s vibrant community and its repository of more than 500 pre‑trained models and 250 publicly available datasets. In a blog post announcing the transaction, Nvidia’s president and chief executive Jensen Huang emphasized that Hugging Face will remain an open‑source project and that developers will continue to have the freedom to run the software on any hardware they choose.
"Hugging Face will stay open‑source, and developers will not have to use Nvidia technology," he wrote, underscoring Nvidia’s commitment to preserving the inclusive ecosystem that has made the platform so valuable to the AI community. Huang further explained that the partnership will enable Nvidia to accelerate the scaling and reliability of Hugging Face’s infrastructure. By leveraging Nvidia’s extensive engineering resources, global data‑center footprint, and deep expertise in high‑performance computing, the company aims to enhance several core capabilities of the platform, including model safety checks, evaluation pipelines, inference speed, and deployment workflows. "Nvidia's infrastructure, engineering and global reach can help improve platform reliability, safety, model evaluation, inference and deployment capabilities, while preserving the open ecosystem that made Hugging Face foundational," the CEO said.
The strategic rationale behind the deal is two‑fold. For Nvidia, the acquisition provides a direct conduit to the thriving open‑source AI community, giving the chipmaker a stronger foothold in the software layer that sits atop its GPUs and specialized AI accelerators.
This aligns with Nvidia’s broader ambition to become the end‑to‑end platform for AI development, from model training to production deployment. For Hugging Face, joining forces with Nvidia offers the scale, financial muscle, and visibility needed to sustain rapid growth, expand its model catalog, and invest in new research initiatives that would be difficult to fund independently. In an interview with CNBC, co‑founder Clément Delangue described the motivations that led Hugging Face to seek a partnership with Nvidia.
He noted that the company had reached a point where "more resources, more scale, [and] more visibility" were essential to continue delivering value to its millions of users. Delangue characterized Nvidia as "a perfect home" for the platform, highlighting the synergy between Hugging Face’s open‑source ethos and Nvidia’s hardware leadership. Nvidia is already the largest contributor to Hugging Face’s model zoo, having released over 500 models and contributed more than 250 open datasets to the community.
This deep integration laid the groundwork for a smoother transition post‑acquisition. "I am honoured that [Clément Delangue] came to me as he considered the next chapter of Hugging Face and believed Nvidia would be a great home for the company, its community and the future of open models," Huang said, reflecting the mutual respect between the two leadership teams. Looking ahead, Huang expressed optimism about the collaborative potential that the combined organization will unlock. "We share this vision, and the Hugging Face team will now bring their passion and expertise to a much larger canvas, with their same iconic brand," he wrote.
The message was directed not only at the internal teams but also at the broader community of developers and researchers who rely on Hugging Face’s libraries and datasets. "To the millions of builders on Hugging Face: thank you for pushing the boundaries of what is possible.
We can't wait to build the future together with you. Together, we will make AI more open, more capable and more accessible to people and institutions around the world," Huang concluded. The deal marks one of the largest valuations ever assigned to an open‑source software company and signals a growing trend of hardware manufacturers investing heavily in the software stack that powers AI workloads. As the AI race intensifies, the integration of Nvidia’s compute power with Hugging Face’s community‑driven model repository could accelerate the development of more robust, safer, and widely available AI tools.
Stakeholders across the industry will be watching closely to see how the partnership balances the commercial imperatives of a multinational chipmaker with the collaborative, open‑source spirit that has defined Hugging Face since its inception.