The U.S. Department of Justice is inquiring about Nvidia's roughly $12.9 billion acquisition of Hugging Face, according to an exclusive Reuters report published Wednesday that cites people familiar with the matter. The news, picked up within minutes by financial outlets including TradingView, marks a significant escalation in the antitrust scrutiny surrounding the chipmaker's expansion beyond silicon and into the heart of the open-source AI ecosystem.
Hugging Face is the de facto public square of machine learning: the platform hosts millions of openly shared models, datasets, and applications used by developers at startups, universities, and nearly every major AI lab. A Justice Department inquiry into its purchase by Nvidia — the company whose GPUs train and run the large majority of frontier models — raises pointed questions about whether the open-source layer of AI can remain neutral when its home is owned by the industry's dominant hardware supplier. For more context on this story, see our ongoing AI trends.
A Deal That Reshaped the Open-Source World
Nvidia announced its agreement to acquire Hugging Face in early September 2026, disclosing a purchase price of $12,930,300,000. In the announcement, CEO Jensen Huang framed the deal as a commitment to openness rather than a land grab, writing that Hugging Face would "remain an open platform for the entire AI ecosystem" and stating plainly that "NVIDIA compute will not be required to build on or deploy through Hugging Face."
The numbers behind the platform explain why the acquisition drew attention from the moment it was announced. According to Nvidia's own announcement, more than 18 million developers, researchers, and creators use Hugging Face to share more than 3 million models, 500,000 datasets, and 1 million applications. Over 200,000 companies use the platform to discover, evaluate, customize, and deploy AI systems.
Huang also revealed that the deal originated personally: Hugging Face co-founder Clement Delangue "came to me as he considered the next chapter of Hugging Face," Huang wrote, adding that the team would keep its iconic brand and continue supporting open-weight models from every model builder.
Why the Justice Department Is Looking
The inquiry does not come out of nowhere. In September, U.S. media reported that the Justice Department had opened an antitrust investigation into Nvidia's roughly $20 billion deal for AI chip startup Groq, a transaction widely described as a test case for the wave of "reverse-acquihire" deals that have allowed large companies to absorb AI startups while sidestepping traditional merger reviews. Wednesday's Reuters report indicates regulators are now applying similar attention to the Hugging Face transaction, with syndicated coverage describing the inquiry as unfolding amid a broader AI antitrust probe.
The pattern is easy to see. Over the past 18 months, Nvidia has assembled an ecosystem that spans the entire AI stack: the chips that train models, the networking that connects them, the software that optimizes them, and now the platform where models are shared and deployed. When a single company owns the dominant hardware layer and the dominant distribution layer for open models, regulators increasingly worry that even informal levers — preferential features, early access, or infrastructure integration — could tilt competition.
The competitive stakes were underscored by the reaction to the deal itself. Before Nvidia stepped in, Quartz reported that OpenAI had sought to invest $100 million in Hugging Face. Shortly after Nvidia's announcement, AMD moved to acquire World Labs for $8.2 billion in a transaction widely read as a direct answer to Nvidia's Hugging Face buy.
The Neutrality Question for Open Source
For the open-source community, the concern is less about price than about trust. Hugging Face succeeded precisely because it was seen as neutral ground — a place where a DeepSeek model, a Llama model, and a Mistral model could sit side by side, and where companies building on rival chips could deploy without friction. That neutrality is now effectively a promise made by Nvidia to its users, and an antitrust inquiry is, in part, a mechanism for testing whether that promise can hold under commercial pressure.
Nvidia's September announcement anticipated exactly this concern. The company committed that Hugging Face would "continue to support open source and open weight models from across the ecosystem, from every model builder" and would maintain "multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work."
Whether those commitments prove durable — and whether regulators demand formal remedies to enforce them — is likely to be the central question of the inquiry.
What Happens Next
At this stage, an inquiry is not a lawsuit. The Justice Department could ultimately close its review, negotiate behavioral commitments, or move to challenge the transaction outright. Neither the department nor Nvidia has publicly detailed the scope of the review, and Reuters attributed its reporting to sources rather than official statements.
What is clear is the direction of travel. The era in which AI mega-deals closed without meaningful antitrust review is over. With the Groq investigation already underway and the Hugging Face inquiry now reported, Nvidia's ecosystem strategy — the most aggressive consolidation play in AI — will face its scrutiny in the open, on the same platforms it helped build.
For the millions of developers who treat Hugging Face as basic infrastructure, the stakes are practical, not abstract: the outcome will shape who controls the rails that open AI runs on, and under what rules.
---
Stay Ahead of AIGet the latest AI news, analysis, and breakthroughs — all in one place.
Read more AI news →
