NVIDIA Just Bought Hugging Face for $12.93B

The Acquisition That Rocked the AI Community

Let us begin by asking ourselves a question: What made a chipmaker purchase a platform with free AI models worth almost $13 billion? On September 3, 2026, the CEO of NVIDIA, Jensen Huang, revealed that his company entered into an agreement to acquire Hugging Face for $12.93 billion, one of the biggest deals in the history of NVIDIA and one that shook the world of AI.

For the AI enthusiast community, such a deal is at once unexpected and predictable. “Hugging Face,” also lovingly called “AI GitHub,” was a platform where all members of the community united in a peaceful manner. Now, the biggest AI chipmaker of the world is bringing it into its fold.

Under this deal, roughly $11.9 billion will go into the pockets of Hugging Face investors, along with a $1 billion equity retention deal for those employees who choose to stick around. The transaction is anticipated to be completed by the first half of 2027, subject to regulatory clearance. The only question that remains is, what next?

What is Hugging Face, really?

Unless you are a specialist, all you may know about Hugging Face is related to the recent media hype around those rogue agents that managed to escape OpenAI’s testing facility and appeared on the company’s platform. However, this event is just the tip of the iceberg of what Hugging Face really is. Consider Hugging Face the GitHub of artificial intelligence.

While GitHub has become the key platform for developers who share their code there, Hugging Face has become the key platform where the AI community is sharing its machine learning models.

The figures are impressive:

• More than 18 million developers, researchers, and creators have access to the platform
• There are more than 3 million AI models on the platform
• There are more than 500,000 datasets and 1 million applications
• More than 200,000 organizations leverage the platform to discover and implement AI

Hugging Face was started in 2016 by three French entrepreneurs, Clément Delangue, Julien Chaumond, and Thomas Wolf. The company name has been inspired by the hugging face emoji, which serves as a reminder that they should not take things too seriously while shaping the future of artificial intelligence.

Hugging Face Hub is the primary offering of the platform, but its impact goes much further than that. The Transformers library by Hugging Face is now a standard instrument for working with large language models.

Why This Deal Matters: The Strategic Play

NVIDIA, for example, has gained recognition due to its GPUs, which are those special chips that run almost all current artificial intelligence training and inference. During the boom of artificial intelligence, the company was valued at more than $5.4 trillion. Their chips have become like “picks and shovels” of the AI gold rush.

However, one thing must be noted regarding the gold rush: the suppliers of picks and shovels are bound to get competitors sooner or later. And some of the largest clients of NVIDIA OpenAI, Microsoft, Meta, and Amazon are building their own AI chips in order to lessen their dependency on NVIDIA.

And here lies the brilliance of the Hugging Face acquisition.

The Open-Source Hedge

The AI industry is becoming divided into two parts:

Proprietary models (like GPT by OpenAI and Claude by Anthropic) that can be run only via APIs provided by the respective companies and cost a lot of money.

Open models (like Llama by Meta, DeepSeek, or Nemotron by NVIDIA itself) that can be freely downloaded and deployed wherever needed.

The demand for the open models has been growing dramatically. Companies have become dissatisfied with the high price tag on the proprietary AI solutions and are seeking an alternative that offers almost the same performance for a much lower cost. Chinese companies like DeepSeek or Z.ai have become quite prominent with their models comparable to American ones.

Acquisition of Hugging Face ensures NVIDIA access to the community of developers interested in the open AI models. The developers who use Hugging Face in order to find and deploy these models become natural buyers of NVIDIA chips. Should the closed models leave NVIDIA’s platforms, the company will need a vibrant open community.

The Developer Pipeline

Here’s another point: in order for developers to work with models on Hugging Face, they typically require computational capabilities for training, fine-tuning, and executing these models. The DGX Cloud by NVIDIA is already compatible with Hugging Face, meaning that developers can use NVIDIA’s infrastructure right out of Hugging Face.

NVIDIA’s acquisition of Hugging Face will allow the company to implement a much more seamless integration, thus making it effortless for developers to move from discovering the model to deploying the model on NVIDIA hardware. This is a perfect example of a “land and expand” approach.

The Promise: “Hugging Face Will Remain Open”

Maybe the single most powerful statement from the whole deal comes straight from Jensen Huang:

“Hugging Face will stay open for everyone in the AI ecosystem. Running on NVIDIA’s compute isn’t necessary for building with or deploying via Hugging Face.”

This was followed by him guaranteeing that developers will be able to select whichever model, chip, and cloud they prefer. The company’s VP of Enterprise AI, Justin Boitano, echoed this point, saying that in order to grow Hugging Face’s community of users, trust and freedom for the developers to run their models anywhere were key.

The CEO of Hugging Face, Clément Delangue, emphasized that this acquisition would mean the democratization of power in the field of AI, not its centralization. Right now, a lot of power lies within proprietary APIs, and using the power of NVIDIA to support the open system of Hugging Face would result in a more healthy competitive environment.

It’s also worth pointing out that Huang mentioned NVIDIA is already the biggest provider of open models and datasets on Hugging Face, with more than 500 models and 250 open datasets provided through the site. This is not about an attack; it is strengthening the existing relationship.

The Concern: What Could Go Wrong?

It is not certain that the acquisition will protect the neutrality of Hugging Face.

As per Harold Byun, CEO of BlueRock (a start-up company offering services for operating artificial intelligence systems in a safe manner), “While they claim otherwise, it is very probable that, at the least, the technical methods will be instrumented to give a competitive advantage. It is something any rational company should do.”

These fears are justified:

1. Gradual Preference for NVIDIA Hardware Despite any claims of neutrality, there may be hidden preferences for NVIDIA hardware that may find their way into the platform eventually. If the tools provided by Hugging Face operate best with NVIDIA hardware, the developers would naturally move toward using them.
2. Access to Data With control over the platform where developers will be discovering, testing, and implementing their models, NVIDIA will gain enormous amounts of data about what the AI community is developing at the moment. It could provide them with certain advantages related to predicting the future.
3. Enterprise AI Implementation As companies start creating their “AI factories” (infrastructure allowing them to train and run models), integration with open models available on Hugging Face becomes extremely important. There is an assumption that NVIDIA could use this to implement some kind of lock-in for its customers.
4. The China Factor Some of Hugging Face’s partners are worried about the number of Chinese open models on the platform.

What This Means for Different Groups

For Developers and Researchers

The short answer: Probably business as usual.

There are plenty of reasons why NVIDIA would be interested in ensuring the success of the platform. The 18 million users of Hugging Face are the most important part of this acquisition. To alienate them is to kill any value generated by it.

Huang even admitted that NVIDIA’s infrastructure will contribute to improving the reliability, security, and deployability of the platform without losing its open nature. This means that developers will benefit from their acquisition.

NVIDIA has already set itself a very lofty goal—to increase the number of users of Hugging Face to 100 million over the next few years.

For Enterprises

For businesses thinking about implementing AI, this deal might speed up their move towards open models.

NVIDIA has been promoting the idea of an “AI factory”—a system that enables enterprises to train and deploy AI models. According to NVIDIA’s partner, Mark III Systems, the acquisition of Hugging Face will enable enterprises to leverage open models without concerns of cost and complexity.

Closed models are expensive to procure, as evidenced by the high costs of obtaining such models from companies like OpenAI.

For Competitors (AMD, Intel, Amazon)

Now things get really interesting.

Some of the earlier investors of Hugging Face are AMD, Intel, and Amazon. The competitors in the chip business now find themselves in a position where the AI distribution platform that they have funded is now being acquired by their arch-rival.

However, the neutrality pledges of NVIDIA do temper its capacity to show favoritism. If NVIDIA were to restrict access to competitors’ hardware, then it would invite regulatory and community scrutiny.

For the AI Industry as a Whole

The deal is, without doubt, a big vote of confidence for open-source AI.

According to Yaël Ossowski, deputy director of the Consumer Choice Center, the move was “a vote of confidence in open AI” that could lead to more competition as it will make AI technologies available to more businesses, even startups.

As compared to the current model where a few big closed companies hold the power of AI, OpenAI is one of the options to consider.

Deeper Dive: The Economics Behind the Deal

Let us talk about the numbers for a minute.

The latest funding round of Hugging Face revealed in August 2023 put the value of the company at $4.5 billion. The acquisition price of $12.93 billion is a premium price—almost three times higher than the value of the company.

Hugging Face supposedly makes a revenue of around $150 million per year. That means that the company was acquired at a price eight times higher than its annual revenue.

What makes NVIDIA pay such a premium price?

Not revenues but strategic considerations.

It’s like investing in the best piece of property in a burgeoning metropolis. It’s not about how much you gain from it currently; it’s all about the future possibilities. In the case of NVIDIA, Hugging Face is that piece of property in the artificial intelligence space.

According to Axel Rudolph, chief technical analyst at IG Group, “NVIDIA is clearly buying strategic influence as much as current earnings.”

NVIDIA held over $22 billion in cash at the end of July 2026. The company is using a lot of that cash to invest in a place that will pay off over a long period of time.

The startup refused an investment from NVIDIA at a valuation of about $7 billion. Clearly, the startup saw more value coming in the future.

The Bigger Picture: Open vs. Closed AI

It represents one of the critical milestones in the ongoing struggle between open and closed approaches to artificial intelligence.

Advantages of Closed AI (OpenAI, Anthropic, Google):

• Controlled release and safety
• Business model defined
• Unified experience for users

Advantages of OpenAI (Hugging Face, Meta, DeepSeek):

• Open access for everyone
• Adjustable to individual requirements
• Cost-effective
• No vendor lock-in

The open AI phenomenon has been gaining more and more traction. Organizations do not want to rely on one API vendor. Governments need sovereign AI. Scientists require access to models that they can examine and optimize.

The idea of NVIDIA is that the open AI movement will prevail in the end or at least will be big enough to move a lot of chips.

If NVIDIA succeeds in its bet, NVIDIA will get:

1. A successful platform that will fuel demand for their chips
2. Knowing early on what applications/models the community will be building
3. Having the ability to optimize their hardware and software for the most used open models

Challenges Ahead

Regulatory Scrutiny

The $40 billion acquisition bid of Arm Holdings by NVIDIA failed as a result of regulatory interference. The current bid by Hugging Face at $12.93 billion will come under close regulatory scrutiny.

The question here is whether the regulatory authorities will consider this move as

• A consolidation of power in an already dominating company
• A move that increases competition for open AI over closed AI

Integration Risk

NVIDIA and Hugging Face have different corporate cultures. Hugging Face is a company built on community and openness. NVIDIA is a company focused on hardware that is motivated by earning money each quarter and growth annually.

This merger of cultures will be a difficult task.

Commitment to Neutrality

Promises of neutrality are easy to give but hard to keep, particularly when the board is concentrating on increasing shareholder value. The moment NVIDIA feels the need to increase revenues, the inclination to drive the user towards their hardware is going to be irresistible.

What to Do Next

If you’re in the AI space, here’s what I’d recommend:

For Developers:

• Keep adding to Hugging Face. The site is here to stay, and accessibility will probably get better.
• Have multiple infrastructures. Don’t depend solely on one vendor or another for hardware or the cloud.
• Engage with the community. The open AI project is bigger than any one company.

For Enterprises:

• Compare the open models to the closed ones. The difference in cost is substantial.
• Think about creating your own “AI factory” infrastructure; it is becoming easier and easier.
• See how NVIDIA is incorporating Hugging Face; it may give you some new possibilities for AI deployment.

For Organizations:

• Encourage the open-sourcing of AI. It has become a public good.
• Be careful about cybersecurity. The latest example of rogue AI agents shows that this is necessary.

Conclusion

The acquisition of Hugging Face by NVIDIA isn’t merely another tech deal; it is indicative of the changes occurring within the industry of AI development and advancement.

Open models have become equally important to closed models. The community of developers is at the heart of the AI world. And it looks like the company that will combine these two offerings, both hardware and the platform for sharing and discovering models, might be positioning itself to dominate the future of AI.

As Huang put it, “AI advances faster when people can build together.” Only time will tell whether the NVIDIA-Hugging Face partnership will benefit or hurt the advancement of Huang’s vision. However, if NVIDIA follows through on its promises, the entire AI community may benefit from the better tools and infrastructure while keeping their open ecosystem intact.

For the rest of us, it is a great time to watch out. The future of AI control and development is being created right now, and it’s our duty to observe these trends and be prepared for changes. The one thing is clear: the AI industry has been changed forever. It will be exciting to see how this change unfolds.

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