Nvidia Buys Hugging Face for $12.93 Billion: What the AI Deal Means and Can You Buy Hugging Face Stock?

Nvidia has agreed to acquire Hugging Face for $12.93 billion, bringing one of the biggest open-source AI platforms deeper into the world’s most powerful AI infrastructure company. Here’s what the deal means for developers, open AI models and investors looking for Hugging Face stock.

Nvidia is making another major move beyond AI chips.

The company announced Thursday that it has agreed to acquire Hugging Face for $12.9303 billion, turning the open-source AI platform into one of the most significant additions to Nvidia’s expanding AI ecosystem.

The deal matters because Hugging Face is not simply another artificial intelligence startup. It has become a major meeting place for developers, researchers and companies working with open models, datasets and AI applications.

Nvidia says Hugging Face will remain an open platform after the acquisition, including support for models and infrastructure from across the AI ecosystem. The company also says developers will not be required to use Nvidia hardware to build or deploy through Hugging Face.

That promise is central to the deal.

For Nvidia, the acquisition expands its reach from the hardware powering AI workloads into the software, models and developer community building those workloads.

For Hugging Face users, the bigger question is whether Nvidia ownership will change how the platform works.

And for investors, another question is already emerging: Does Hugging Face have a stock, and can you buy it?

Nvidia Confirms $12.93 Billion Hugging Face Acquisition

Nvidia announced the acquisition on September 3, 2026.

The company said it agreed to acquire Hugging Face for $12,930,300,000. Nvidia described the transaction as a way to scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide.

The deal is particularly significant because Hugging Face has become one of the largest platforms for open AI models.

According to Nvidia, more than 18 million developers, researchers and creators use Hugging Face. The platform hosts more than 3 million models, 500,000 datasets and 1 million applications, while more than 200,000 companies use it to discover, evaluate, customize and deploy AI.

Those numbers help explain why Nvidia sees the company as strategically important.

This is not simply an acquisition of a small AI startup. It gives Nvidia a much larger position in the community that develops and distributes open AI technology.

Why Does Nvidia Want Hugging Face?

Nvidia built its dominance in the generative AI boom largely through its graphics processors and data-center technology.

But the AI industry is increasingly moving up the technology stack.

Models, datasets, software libraries, inference tools and developer platforms are becoming just as important to the broader AI ecosystem.

Hugging Face sits directly in that layer.

The platform allows developers to find and work with AI models, datasets and applications rather than having to build every component from scratch.

Nvidia therefore gets something much different from another chip acquisition: direct exposure to a huge global developer and open-model ecosystem.

Nvidia has already been contributing to Hugging Face. Jensen Huang said the company had released more than 500 open models and more than 250 open datasets on the platform before the acquisition.

The acquisition gives Nvidia an opportunity to connect those efforts more closely with Hugging Face’s existing community.

Hugging Face Will Remain Open, Nvidia Says

One of the biggest concerns surrounding the acquisition is whether Hugging Face will remain genuinely open after becoming part of Nvidia.

Nvidia is addressing that concern directly.

Jensen Huang said Hugging Face will remain an open platform for the broader AI ecosystem.

According to Nvidia, developers will continue to be able to choose the models, frameworks, cloud providers, inference services and computing platforms they prefer. The company specifically said Nvidia computing will not be required to build on or deploy through Hugging Face.

Nvidia also said Hugging Face will continue supporting open-source and open-weight models from different model builders and maintain multi-cloud and multi-accelerator development.

That is an important distinction.

The value of Hugging Face comes partly from its position as a relatively broad platform rather than a place exclusively tied to one AI model or one hardware provider.

Whether that independence remains meaningful under Nvidia ownership will be something developers will watch closely.

What Is Hugging Face and Why Is It Important?

Hugging Face is an AI platform best known for its large collection of machine-learning models, datasets, tools and applications.

It has become especially important in the open-source and open-weight AI movement.

Instead of relying exclusively on closed AI systems, developers can access models through Hugging Face and modify, test or deploy them for different applications.

That can be useful for businesses that want greater control over their AI systems.

Running models on their own infrastructure can also help organizations keep certain sensitive data within systems they control, depending on how the technology is deployed.

This open approach is one reason Hugging Face has become an important part of the AI developer ecosystem.

What Does Open-Source AI Have to Do With the Nvidia Deal?

The acquisition arrives during a broader debate over open versus closed AI.

Companies such as OpenAI and Anthropic have built powerful proprietary systems where the underlying model technology is not generally distributed in the same way as open-weight models.

Hugging Face, by contrast, has become one of the main platforms for sharing and working with open models.

Nvidia has increasingly positioned itself as a supporter of open AI models.

Huang has argued that open models can expand access to AI and help developers, businesses, universities and institutions build applications without having to train every model themselves. Nvidia says this openness can also contribute to AI innovation and cybersecurity.

The Hugging Face acquisition therefore gives Nvidia a stronger position in one of the biggest strategic debates taking place inside the AI industry.

Hugging Face and the Recent AI-Related Hacking Incident

The acquisition also comes shortly after Hugging Face was involved in a cybersecurity incident connected to AI testing.

The incident attracted attention because it demonstrated how increasingly capable AI systems can create new cybersecurity risks.

CNBC reported that Hugging Face CEO Clément Delangue said engineering mistakes contributed to the attack. He also said the company used an Nvidia version of a Chinese open model to help defend itself.

CNN’s reporting connected the incident to testing involving OpenAI models.

However, it is important to distinguish between an incident involving models during testing and an intentional hack carried out by OpenAI as a company.

There is no basis in the reporting provided here to describe the event as OpenAI deliberately attacking Hugging Face.

The incident nevertheless adds another layer to the Nvidia acquisition because cybersecurity and the safe deployment of open AI models are becoming increasingly important issues.

Why the Hugging Face Hack Matters to the Acquisition

The cybersecurity episode could actually strengthen the argument for investing more heavily in open AI infrastructure.

Delangue said the incident reinforced his belief that Hugging Face should continue pushing open-source AI.

Huang similarly argued that open models can give defenders an advantage by allowing a larger community to collaborate on security and defensive technology.

That creates an interesting dynamic.

The same openness that can make AI technology more accessible can also create security challenges.

Nvidia appears to believe that more infrastructure, engineering resources and community collaboration can help address those challenges.

Hugging Face Approached Nvidia About the Deal

The acquisition was not simply an unexpected takeover attempt by Nvidia.

Hugging Face CEO Clément Delangue told CNBC that Hugging Face approached Jensen Huang during the summer.

Delangue said the company had reached a point where open-source AI needed more resources, scale and visibility.

He described Nvidia as a strong home for Hugging Face and said discussions moved quickly after the initial approach.

That detail changes the way the transaction can be viewed.

Rather than Nvidia simply purchasing an AI company it wanted to control, the deal followed a period in which Hugging Face was considering how to scale its open-AI mission.

How Much Is Nvidia Paying for Hugging Face?

The total announced transaction value is $12.93 billion.

Nvidia said approximately $11.9 billion will go to Hugging Face shareholders.

The agreement also includes an additional $1 billion in equity intended to retain Hugging Face employees who join Nvidia.

The transaction is expected to close during the first half of 2027, subject to the applicable closing conditions.

That means the acquisition announcement does not mean Hugging Face immediately becomes fully integrated into Nvidia.

Nvidia’s Hugging Face Deal Is Its Second-Largest Acquisition

The transaction is also notable within Nvidia’s own acquisition history.

CNBC reported that the Hugging Face purchase is Nvidia’s second-largest acquisition, behind its roughly $20 billion purchase of Groq assets.

Before that, Nvidia’s major acquisition included Mellanox, which it bought for nearly $7 billion in 2019.

The scale of the Hugging Face deal shows how much Nvidia’s strategy has expanded.

It is no longer simply trying to sell more chips into the AI boom.

The company is increasingly investing across the ecosystem that creates demand for those chips.

Hugging Face Was Valued at $4.5 Billion in 2023

The acquisition represents a major increase over Hugging Face’s previous private-market valuation.

The company was valued at approximately $4.5 billion in 2023 following a $235 million funding round.

The new $12.93 billion transaction therefore represents a dramatic increase in the company’s implied value.

There is another interesting part of the story.

According to the reporting provided by CNN, Hugging Face previously rejected a proposed $500 million Nvidia investment that would have valued the company at around $7 billion.

At the time, Hugging Face wanted to preserve its independence.

The company has now agreed to become part of Nvidia at a substantially higher valuation.

Hugging Face Stock: Can You Buy It?

This is one of the most important questions for investors searching “Hugging Face stock” after the acquisition news.

Hugging Face is not a publicly traded company with its own stock ticker.

The company has historically been privately held, so investors cannot simply open a brokerage account and purchase “Hugging Face shares” on Nasdaq or the New York Stock Exchange.

That means there is currently no public Hugging Face stock price or Hugging Face stock ticker comparable to Nvidia’s NVDA shares.

The $12.93 billion acquisition is a private-company transaction rather than a conventional public-market stock purchase.

Once the acquisition closes, Hugging Face will become part of Nvidia rather than becoming a separately listed public stock.

How Can Investors Get Exposure to the Hugging Face Deal?

For ordinary public-market investors, the most direct publicly traded company connected to the transaction is Nvidia.

Nvidia is listed on the Nasdaq under the ticker NVDA.

But buying Nvidia stock is not the same thing as buying Hugging Face stock.

An investor who purchases NVDA is buying Nvidia shares and gaining exposure to Nvidia’s overall business, including its chips, data-center operations, software, AI infrastructure and acquisitions.

The Hugging Face transaction could potentially contribute strategically to Nvidia’s business, but investors should not interpret the acquisition as a separate Hugging Face stock listing.

What Happened to Hugging Face’s Previous Valuation?

The jump from a $4.5 billion valuation in 2023 to a $12.93 billion acquisition illustrates how dramatically investor interest in AI infrastructure has changed.

The company went from a highly valued private AI platform to an acquisition target worth almost three times its 2023 valuation.

That does not mean Hugging Face’s revenue or profits increased by the same percentage.

An acquisition price reflects what the buyer believes the company’s technology, ecosystem, employees and strategic position are worth.

In Nvidia’s case, the value appears to be tied heavily to Hugging Face’s role within the expanding open-AI ecosystem.

What Does the Deal Mean for OpenAI?

The Nvidia-Hugging Face deal also has implications for OpenAI, although it should not be described as an acquisition of or direct takeover battle with OpenAI.

OpenAI remains a major force in closed/proprietary AI models, while Hugging Face is strongly associated with open models.

Nvidia has relationships and investments across the AI industry, including with major AI companies.

By owning a major open-model platform, Nvidia strengthens its position across a part of the AI market that does not depend exclusively on one proprietary model provider.

That could become increasingly important as developers and businesses seek alternatives between fully closed AI systems and completely self-managed models.

What Happens to Hugging Face Users After the Acquisition?

For developers, the immediate question is whether anything changes.

Nvidia has said the platform will remain open and will continue supporting models from across the ecosystem.

The company also says Hugging Face will maintain multi-cloud and multi-accelerator support, meaning developers will not be forced to use Nvidia hardware simply because Nvidia owns the platform.

That is the current commitment.

The longer-term impact will depend on how Nvidia implements the acquisition after it closes.

Developers will likely pay particular attention to pricing, access to infrastructure, model availability, neutrality between hardware providers and how Hugging Face handles relationships with competing AI companies.

Why This Deal Is Bigger Than a $12.9 Billion Acquisition

The Nvidia-Hugging Face transaction is ultimately about much more than the purchase price.

Nvidia already dominates a critical layer of AI infrastructure through its computing hardware.

Hugging Face operates at another critical layer: the models, datasets, tools and developer community that turn computing power into usable AI applications.

Bringing those two worlds together gives Nvidia a much broader presence across the AI stack.

At the same time, Nvidia is promising not to close Hugging Face off from the wider AI ecosystem.

If that promise holds, Nvidia could use its enormous infrastructure resources to help Hugging Face scale while preserving the open-model community that made the platform important in the first place.

That is the central question to watch as the acquisition moves toward closing.

Key Facts at a Glance

Detail	Information
Buyer	Nvidia
Company being acquired	Hugging Face
Deal value	$12.9303 billion
Shareholder payment	About $11.9 billion
Employee retention equity	$1 billion
Expected closing	First half of 2027
Hugging Face status	Private company
Hugging Face stock ticker	None
Nvidia ticker	NVDA
Developers/researchers/creators using Hugging Face	18 million+
Models	3 million+
Datasets	500,000+
Applications	1 million+
Enterprise customers	200,000+

These figures are based primarily on Nvidia’s announcement and current reporting.