Acquisition of Hugging Face Nvidia Sets Its Sights on the "GitHub of AI"

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Nvidia is reportedly willing to pay $12.9 billion for Hugging Face. This would not only give the chipmaker a major platform for open AI models, but also allow it to control another key layer of the AI ecosystem. However, the acquisition has not yet been confirmed.

Nvidia appears to be nearing one of the largest acquisitions in its corporate history. According to a report by The Information, the chipmaker has agreed to acquire Hugging Face for $12.9 billion. The publication cites a person familiar with the matter. Neither company has officially confirmed the deal yet. In addition, Business Insider paints a more cautious picture: According to the report, while Nvidia and Hugging Face are negotiating a deal valued at more than $13 billion, no signed agreement has been reached yet. The talks could still fall through. Requests for comment from Reuterswent unanswered at first. The report should therefore not be regarded as confirmation of an acquisition at this time, but rather as a consistent media report regarding ongoing or well-advanced negotiations.

A List of Models?

Hugging Face is often referred to as the “GitHub of AI.” On the platform, companies, research institutions, and independent developers publish models, datasets, and applications. Users can find, compare, download, customize, and use these resources for their own projects.

The platform’s significance has grown significantly once again since 2025. By the end of 2025, Hugging Face had already reported 13 million registered users, more than two million public models, and over 500,000 public datasets. In August 2026, according to information on the platform, the milestone of three million public models was surpassed. Hugging Face is thus not merely a repository for model files, but an essential development and distribution layer of the open AI ecosystem.

That is precisely where the strategic value for Nvidia likely lies. An acquisition would not merely provide the company with additional software or another AI model. Nvidia would gain direct access to the platform where developers discover, evaluate, modify, and integrate models into applications. This would bring the company closer to the actual development work of its customers.

Nvidia Is Building the Entire AI Stack

To date, Nvidia's position has been based primarily on infrastructure. The company's GPUs, together with the CUDA software platform, form the technical foundation of numerous AI data centers. Many developers of language and multimodal models train and run their systems, at least in part, on Nvidia hardware.

At the same time, major AI providers are trying to reduce their dependence. Google has been using its own Tensor Processing Units for years. Amazon is developing Trainium and Inferentia accelerators, while Microsoft is developing its own Maia chips. According to reports, OpenAI and Anthropic are also pursuing semiconductor solutions developed either in-house or in collaboration with partners. As a result, Nvidia cannot count on its current market position in AI accelerators remaining unchallenged indefinitely.

The company’s response has increasingly been to expand into additional layers of the value chain. Nvidia not only develops processors and server systems, but also network components, development tools, inference software, cloud services, and its own open-source models. The company is already publishing models from the Nemotron family via Hugging Face. If Nvidia were to acquire the platform, both its own models and those of numerous other providers would be distributed via an infrastructure owned by the Nvidia Group.

That does not automatically mean that all models offered on Hugging Face are tied to Nvidia hardware. The platform also supports systems and software from other semiconductor vendors. It is precisely this neutrality that is one of its strengths. An acquisition could therefore raise the question of whether AMD, Intel, Google, and other competitors would continue to view Hugging Face as an independent platform.

Wall Street Is Expected to Finance the Expansion

Nvidia is also expanding its influence on the financing side. The company has announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR. Together, they plan to create financing platforms that will mobilize more than $500 billion in external capital for AI infrastructure over time.

This is important. Nvidia did not provide the $500 billion itself. Nor is this a single fund that has already been fully financed. Rather, the plan is to create capital pools through which customers can finance the construction of data centers and the procurement of AI infrastructure. Nvidia is likely to benefit from this, as a significant portion of this infrastructure is expected to consist of Nvidia accelerators, networking equipment, and software.

In this way, the company is helping to create the conditions necessary for the purchase of its own products. AI labs and cloud providers gain access to capital, use it to build out computing capacity, and purchase Nvidia systems for that purpose. This model can accelerate the growth of the entire industry, but at the same time it reinforces mutual financial dependencies within the AI market.

The Strategic Value

The reported purchase price of $12.9 billion seems high. Hugging Face was valued at $4.5 billion during its 2023 funding round. According to The Information, the company is said to have most recently achieved annual revenue of around $150 million. The potential purchase price would thus correspond to an exceptionally high revenue multiple.

From a strategic perspective, however, Nvidia isn’t paying just for current revenue. The platform, the developer community, and Hugging Face’s position as a gateway to open AI models would be key factors. Whoever controls where developers find models and how they run them can influence technical standards, integrations, and ultimately the choice of the required computing infrastructure. 

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