Nvidia to Acquire Hugging Face for $12.9 Billion: The Real Aim Behind Controlling the "Model Distribution Network" in AI

Nvidia, which dominates the AI semiconductor market, is now aiming to acquire a "distribution hub for models" used by AI developers worldwide.

In August 2026, reports emerged that Nvidia was moving to acquire Hugging Face, a major AI model sharing platform. Initially, negotiations were said to be based on a valuation exceeding $13 billion, but later The Information reported that Nvidia agreed to acquire Hugging Face for approximately $12.9 billion. Reuters also covered this development.

However, as of the time of these reports, no detailed official announcement about the acquisition from Nvidia or Hugging Face had been confirmed. Therefore, it is necessary to view the situation as being at the stage where "an acquisition agreement for about $12.9 billion is being reported by major media."

Nonetheless, if this deal goes through, its impact on the AI industry would be significant.

This is because what Nvidia is trying to acquire is not just any AI startup.

Hugging Face is a massive platform where companies, researchers, and engineers worldwide can publish and share AI models, datasets, and libraries. Often described as the "GitHub for AI" in the era of generative AI, it serves as crucial infrastructure for AI development centered around open models.

If Nvidia brings Hugging Face under its umbrella, it would wield significant influence over both "the semiconductors that power AI" and "the place where AI models gather."

The real reason this acquisition report is drawing attention is not just the $12.9 billion price tag.

There is a larger issue of who will control the "entry point" to the AI industry.

What is Hugging Face?

Hugging Face was founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf.

For general consumers, it may not be as familiar a name as ChatGPT or Gemini. However, for AI engineers and researchers, its presence is significant.

On the Hugging Face Hub, not only large language models but also models and datasets for image generation, speech recognition, speech synthesis, video generation, embeddings, image recognition, and robotics are publicly available.

Developers can search for, download, compare, integrate into their services, and re-publish improved models.

Furthermore, open-source libraries like "Transformers" are widely used, making it difficult to discuss the current AI development environment without mentioning Hugging Face.

What is particularly important is that Hugging Face has grown as a relatively "neutral platform."

It's not just Nvidia.

Companies with different hardware and cloud environments, such as AMD, Intel, Google, and Amazon, also participate in the Hugging Face ecosystem.

There are models from Meta, Microsoft, Mistral, as well as those from Chinese companies, research institutions worldwide, and individual developers.

The strength of Hugging Face lies in the fact that it is not a place that deals with AI from specific companies only, but rather a place where various players gather.

Now, there is a possibility that Nvidia, one of the world's largest AI semiconductor manufacturers, might own Hugging Face.

This is the main point of contention surrounding this acquisition.

Is $12.9 billion too high?

The reported acquisition price of approximately $12.9 billion translates to a massive transaction in the trillions of yen.

Moreover, Hugging Face was valued at $4.5 billion during its 2023 funding round.

At that time, the company raised $235 million in a Series D led by Salesforce Ventures, with investments from Google, Amazon, Nvidia, Intel, AMD, Qualcomm, IBM, and other leading AI and semiconductor companies.

In just about three years, the acquisition price has ballooned to roughly three times the 2023 valuation.

According to The Information, Hugging Face's annualized revenue is estimated to be around $150 million.

A simple comparison shows that $12.9 billion far exceeds 80 times the annual revenue.

From a conventional company valuation perspective, it appears quite expensive.

So why is Nvidia willing to pay such an amount?

The answer likely lies not in Hugging Face's current revenue but in its "connection with AI developers."

What Nvidia wants is "the first place AI developers visit"

Nvidia's current strength lies in its GPUs.

Training and inference of generative AI models require enormous computational power, and Nvidia's GPUs have become the de facto standard in this market.

However, merely selling semiconductors has its limits in terms of market dominance in AI.

AI developers first choose a model.

Next, they train and fine-tune the model, prepare an inference environment, and deploy it in actual services.

Hugging Face is present at this initial "place to find models."

If Hugging Face becomes a part of Nvidia, Nvidia could guide developers from the model discovery stage to its own GPUs, CUDA, inference environments, cloud, and AI software.

For example, selecting a model on Hugging Face could allow for training in an environment optimized for Nvidia GPUs.

Publishing a model could enable fast inference in Nvidia environments.

When companies adopt AI, they could offer a consistent system from model selection to infrastructure.

Such integration would be very convenient for developers.

On the other hand, the stronger this convenience becomes, the higher the cost of leaving Nvidia's ecosystem.

Thus, this acquisition is not only about competition in the GPU market but also a "platform competition" for AI developers.

Nvidia and Hugging Face have long had a deep relationship

Judging by the acquisition reports alone, it might seem like Nvidia suddenly set its sights on Hugging Face.

In reality, the relationship between the two companies has been deep for quite some time.

In 2023, Nvidia itself participated in Hugging Face's funding round.

In the same year, a partnership was announced to allow access from Hugging Face to Nvidia's DGX Cloud for training and fine-tuning AI models.

In 2024, a model training service combining Nvidia DGX Cloud and Hugging Face was launched, and in 2025, they jointly announced "Training Cluster as a Service."

This system allows universities, research institutions, and companies to use large-scale GPU clusters for the required period.

At the time, Hugging Face explained that over 250,000 organizations were eligible to use this service.

Furthermore, in March 2025, Hugging Face CEO Clément Delangue revealed that Nvidia became a customer of the company's Enterprise Hub, with about 2,000 Nvidia affiliates using Hugging Face.

The two companies were already connected on multiple layers of products, cloud, and developer platforms, not just as investor and investee.

If the acquisition is true, it can be seen as a move to change the relationship from "partnership" to "ownership."

Open AI is actually convenient for Nvidia

When considering this acquisition, one must not overlook the relationship between Nvidia and "open models."

Hearing that a giant company is acquiring Hugging Face might lead some to think, "Is open source coming to an end?"

However, Nvidia has clear economic reasons for wanting to grow open AI models.

Major AI and cloud companies like OpenAI, Google, and Amazon are developing their own AI chips to reduce dependence on Nvidia.

If the AI market becomes concentrated among a few giant companies in the future, each using its own AI chips, it poses a long-term risk for Nvidia.

In a world centered on open models, the situation is different.

Countless startups, universities, companies, and individual developers create their own AI, each requiring computational power.

It is not realistic for all of them to develop their own semiconductors.

As a result, many developers use Nvidia GPUs, which are universally available.

Thus, for Nvidia, a market where numerous open models compete is more conducive to expanding GPU demand than one dominated by a single giant AI company.

This point is frequently noted on Reddit.

"Since Nvidia is a company selling pickaxes in a gold rush, it benefits from an increase in open models."

Such is the perspective.

The Hugging Face acquisition can be seen not as a simple attempt to crush open source but rather as Nvidia's strategy to "grow the open model market itself."

Voices on social media worry about "the end of open AI"

Meanwhile, there is significant caution regarding the acquisition reports on social media and in the AI developer community.

 

In particular, the Reddit community for users running LLMs in local environments, such as LocalLLaMA or LocalLLM, saw significant discussion on this news.

In one thread, a post stating "Hugging Face's acquisition is not good for open source" garnered numerous reactions.

In another thread, concerns were raised about "the future of open weight models."

One concern is the potential loss of Hugging Face's neutrality.

Until now, Hugging Face has featured models that can be used not only with Nvidia GPUs but also with hardware like AMD.

If Nvidia becomes the owner, will it continue to treat competing hardware under the same conditions as now?

Will Nvidia environments be favored in search results, recommendations, inference services, etc.?

These questions naturally arise.

Additionally, there are posts expressing concern about the potential impact of future regulations on open models developed outside the U.S., such as in China.

Even if the models themselves are not removed, changes in usage conditions, display methods, and provided services could significantly impact the distribution of open models.

Hugging Face is not just a file repository.

The very recognition by developers that "there are models here" creates a powerful network effect.

It's not surprising that some developers feel uneasy about a single company owning this space.

Some say "it's better if it's Nvidia"

Interestingly, it's not just opposition.

On social media, there are quite a few opinions that "if a giant company is going to buy it, Nvidia is still a good fit."

The reason is the aforementioned economic incentive.

For AI model providers like OpenAI or Anthropic, open models could become competitors to their services.

However, Nvidia's main business is not selling models themselves on a subscription basis.

Whether the model is from OpenAI, Meta, a Chinese company, or an individual developer, Nvidia profits if its GPUs are used to run them.

Therefore, some users believe that "Nvidia has more reasons to increase open models than to make Hugging Face exclusive."

On Reddit, this situation was humorously described as "a pickaxe maker buying the factory that makes pickaxe handles."

Additionally, there are observations that "Nvidia will control both the GPU and what runs on it."

This expression aptly captures both the expectations and concerns surrounding the acquisition.

Nvidia has an incentive to grow open AI.

However, if the company also owns the largest place where open AI circulates, Nvidia's market dominance will further strengthen.

The divided opinions on social media are due to this dual nature.

Nvidia's extraordinary profitability enables massive acquisitions

The $12.9 billion amount is a scale that would bet the fate of many companies.

However, Nvidia's current financial power has grown so large that even this seems small.

In its financial results for the second quarter of fiscal 2027, announced on August 26, 2026, Nvidia's revenue reached $96.2 billion.

This is a 106% increase compared to the same period the previous year.

The data center segment alone reached $89 billion, a 117% increase from the same period the previous year.

According to FOCUS, the net profit for the same quarter was approximately $59.7 billion.

In other words, the profit from just three months exceeds several times the reported Hugging Face acquisition amount.

Nvidia is already becoming more than just a semiconductor company.

It is expanding its investments across the entire AI industry, including GPUs, networking, cloud, AI models, software, data centers, and robotics.

The company has also announced the construction of a financial platform to mobilize over $500 billion in third-party funds for AI infrastructure development.

In essence, it is transforming into an "infrastructure company" for the AI era.

The acquisition of Hugging Face can be understood as part of this trajectory.

What really matters is "what won't change after the acquisition"

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