Nvidia is reportedly closing in on one of its most significant artificial intelligence acquisitions yet, with the chipmaker agreeing to buy open-source AI platform Hugging Face in a deal valued at approximately $12.9 billion.
The potential acquisition would bring one of the AI industry's most widely used developer platforms under the control of the world's dominant supplier of AI computing hardware. It would also significantly expand Nvidia's position beyond chips and into the software, model distribution, developer tools, and cloud infrastructure that support modern AI development.
Neither Nvidia nor Hugging Face has publicly confirmed the transaction, and reports differ on whether a final agreement has been formally signed.
The reported $12.9 billion purchase price represents a substantial increase from Hugging Face's previous valuation.
The company raised $235 million in 2023 at a valuation of $4.5 billion. Investors in that round included Salesforce Ventures, Google's GV, IBM Ventures, and Nvidia itself.
Hugging Face has since grown into a major destination for developers, researchers, startups, and enterprises working with machine learning. Its platform allows users to publish, discover, download, test, and deploy AI models, datasets, and related applications.
The company's annual revenue has reportedly climbed to roughly $150 million, up from around $100 million only months earlier. Hugging Face CEO Clément Delangue has also said the business has been approaching profitability.
A transaction near $13 billion would therefore place a significant premium on the company's current revenue, suggesting Nvidia sees strategic value in Hugging Face that extends well beyond its immediate financial performance.
Hugging Face has become a central part of the open-source AI ecosystem.
Thousands of organizations and individual developers use the platform to distribute models and experiment with alternatives to proprietary systems from companies such as OpenAI, Anthropic, and Google.
For Nvidia, controlling a platform at the center of this ecosystem could help strengthen demand for its hardware.
The world's largest AI companies are increasingly developing custom chips to reduce their dependence on Nvidia. Google has its Tensor Processing Units, Amazon has invested heavily in Trainium and Inferentia processors, while other major AI companies are exploring their own semiconductor strategies.
Open-source AI presents Nvidia with a different opportunity. Independent developers and smaller companies building on open models often rely on commercially available computing infrastructure, a market where Nvidia remains exceptionally strong.
By supporting the growth of open AI models, Nvidia can encourage an ecosystem in which developers continue to require large amounts of general-purpose GPU computing.
The potential acquisition would fit Nvidia's broader push into open models and AI software.
The company has invested heavily in developing models, tools, libraries, and infrastructure designed to make its GPUs useful across nearly every stage of AI development.
Nvidia CEO Jensen Huang has also publicly supported the role of open models in the global AI ecosystem.
Hugging Face has taken a similarly strong position. Delangue has repeatedly advocated for open AI development and has warned that restrictions on open models could weaken the competitiveness of the United States as Chinese AI developers make rapid progress.
The two companies have already worked closely together, making an acquisition a significant extension of an existing relationship rather than an entirely new partnership.
Hugging Face could also help Nvidia expand its position in cloud-based AI infrastructure.
The platform allows developers to deploy and run models using rented computing resources. That gives Nvidia potential access to developers not only when they select hardware, but also when they deploy models and purchase computing capacity.
Nvidia previously expanded into cloud services through DGX Cloud but reportedly scaled back parts of that strategy.
Owning Hugging Face could provide another path into the cloud computing market without requiring Nvidia to build a new developer ecosystem from the ground up.
It could also help the company manage some of its growing cloud commitments. Nvidia has entered agreements designed to support large amounts of computing capacity for AI customers. A massive community of Hugging Face developers could potentially provide another channel for distributing that capacity.
The reported acquisition comes after Hugging Face previously rejected a large investment proposal from Nvidia.
Nvidia reportedly offered to invest $500 million in the startup at a valuation of approximately $7 billion. Hugging Face declined the proposal amid concerns that allowing one dominant investor to gain too much influence could compromise the company's independence.
A full acquisition raises a different set of considerations.
For Hugging Face, joining Nvidia would provide access to significantly greater financial resources, computing capacity, and infrastructure. Those resources could accelerate the company's ability to compete as the costs associated with training, hosting, and deploying advanced AI models continue to increase.
At the same time, the deal could reopen questions about Hugging Face's neutrality.
Part of Hugging Face's appeal is that it operates as a relatively neutral platform supporting models and technologies from across the AI industry.
Developers can use the service with hardware and software from companies that compete directly with Nvidia, including AMD, Intel, and major cloud providers.
If Nvidia takes ownership, some developers and AI companies may question whether that neutrality can continue.
Maintaining an open ecosystem could therefore become one of the most important challenges for Nvidia if the transaction is completed.
The company would have a financial incentive to promote its own hardware and software while simultaneously operating a platform whose success depends heavily on broad participation across the industry.
A $12.9 billion acquisition of Hugging Face would represent more than another expansion of Nvidia's AI portfolio.
It would signal that the company sees open-source AI as a critical part of the next stage of the industry's development.
Nvidia already dominates the computing infrastructure used to train and run many advanced AI models. Hugging Face would give it a powerful position in the developer ecosystem where those models are shared, evaluated, modified, and deployed.
If the transaction is finalized, Nvidia would move another step toward becoming a vertically integrated AI company spanning chips, networking, software, cloud computing, models, and developer platforms.
The deal could also reshape the balance of power in open-source AI, placing one of the community's most important platforms inside one of the world's largest technology companies.
For Nvidia, the acquisition would be a major wager that the future of artificial intelligence will not belong exclusively to a handful of closed model providers. It would also be a bet that the millions of developers building with open models will remain an increasingly important source of demand for AI computing infrastructure.
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