NVIDIA Agrees to Acquire Hugging Face for $12.93 Billion

NVIDIA has agreed to acquire AI developer platform Hugging Face for $12.93 billion, in a deal that brings one of the largest open-model communities closer to the world's leading AI computing company.

NVIDIA CEO Jensen Huang announced the agreement on September 3, 2026, saying the acquisition will focus on scaling Hugging Face's platform, strengthening its infrastructure and expanding access to AI for developers and institutions worldwide.

The deal gives NVIDIA a deeper position in the software and developer ecosystem surrounding open models. It also raises questions about how Hugging Face will maintain its hardware and cloud neutrality after becoming part of NVIDIA.

NVIDIA says Hugging Face will remain an open platform and that developers will continue to choose the models, frameworks, cloud providers, inference services and computing platforms that best fit their needs.

NVIDIA moves deeper into the open-model ecosystem

Hugging Face has become a major platform for developers, researchers and organizations working with AI models, datasets and applications.

According to NVIDIA, 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. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI.

NVIDIA says the acquisition will allow the platform to operate at greater scale while maintaining the open ecosystem that has made Hugging Face an important destination for AI developers.

The company also emphasized that NVIDIA hardware will not be mandatory for building or deploying through Hugging Face.

Developers will continue to be able to choose their preferred models, frameworks, clouds, inference providers and computing platforms.

NVIDIA also said Hugging Face will continue supporting open-source and open-weight models from across the AI ecosystem.

Open models are at the center of the deal

The acquisition comes as open and open-weight AI models become increasingly important to developers and organisations.

Unlike closed AI systems, open models can provide developers with greater flexibility to download, run, customize and build on AI capabilities.

NVIDIA CEO Jensen Huang has previously argued that open weights can broaden access to AI and distribute AI development across companies, institutions and communities.

In the acquisition announcement, Huang again positioned open models as a way for startups, businesses, universities and public institutions to use advanced AI capabilities without having to train every model from scratch.

For organizations, this can also allow different models to be selected for different workloads rather than relying on a single AI system.

The NVIDIA announcement connects open models with areas including AI innovation, cybersecurity, digital sovereignty and broader access to AI.

NVIDIA already has a significant relationship with Hugging Face

The acquisition does not represent the beginning of NVIDIA's relationship with Hugging Face.

NVIDIA says it has already made significant contributions to the platform and has been investing in open models and open-source technologies for several years.

According to the company, NVIDIA has released more than 500 models and more than 250 open datasets on Hugging Face.

NVIDIA also says it is the platform's largest contributor of open models and data, with contributions continuing to grow.

The two companies already work together to help developers use NVIDIA computing services through the Hugging Face platform.

The acquisition therefore brings an existing technology relationship and developer presence under a single corporate structure.

NVIDIA says Hugging Face will remain hardware-neutral

One of the most important commitments in the announcement concerns platform choice.

NVIDIA explicitly said developers will not be required to use NVIDIA computing hardware to build or deploy AI through Hugging Face.

The company said Hugging Face will continue supporting multi-cloud and multi-accelerator development and deployment.

That means developers will retain the ability to select hardware and infrastructure based on their requirements rather than being required to use NVIDIA's ecosystem.

This point is significant because Hugging Face serves a broad AI community that uses different models, frameworks, cloud platforms and accelerator technologies.

NVIDIA's announcement therefore seeks to distinguish ownership of the platform from mandatory use of NVIDIA hardware.

Reuters reports developer concerns

Reuters reported that some analysts and developers were concerned that NVIDIA could eventually favor its own hardware within the Hugging Face ecosystem.

The concern centers on whether NVIDIA's ownership could influence technical decisions, platform integrations or infrastructure choices over time.

Reuters also reported that analysts viewed the acquisition as giving NVIDIA greater strategic influence over AI developers and the broader open-model ecosystem.

Those concerns represent outside analysis reported by Reuters and are separate from NVIDIA's stated commitment that Hugging Face will remain open and hardware-neutral.

Additional details about how the platform will be governed after the acquisition were not disclosed in the NVIDIA announcement.

A major acquisition for NVIDIA

At $12.93 billion, the transaction represents a major investment by NVIDIA in the software and developer side of the AI ecosystem.

Reuters reported that approximately $11.9 billion would go to Hugging Face investors under the deal, while an equity-based retention program of up to $1 billion would be available for employees joining NVIDIA.

The transaction expands NVIDIA's strategy beyond its traditional position as an AI computing provider.

Reuters characterized the move as an effort to strengthen NVIDIA's influence among developers who use Hugging Face to discover and work with AI models and tools.

The deal also comes as some major AI companies are developing their own AI chips, potentially creating pressure for NVIDIA to broaden its customer and developer ecosystem.

Hugging Face has become more than a model repository

Founded in 2016 by Clément Delangue, Julien Chaumond and Thomas Wolf, Hugging Face has grown into a broader AI development platform.

Its ecosystem includes models, datasets, software libraries and cloud services used to build and deploy AI applications.

Reuters reported that the company was valued at $4.5 billion during its most recently disclosed funding round in August 2023, when it raised $235 million from investors including Salesforce, AMD and Amazon.

The acquisition therefore represents a substantial increase over that previously disclosed valuation.

The company has also attracted broad participation from across the AI industry, including organizations that compete with NVIDIA in hardware and cloud services.

That history makes NVIDIA's commitment to maintaining an open ecosystem particularly important for developers who use Hugging Face across different technology stacks.

NVIDIA's broader open-source strategy

NVIDIA has increasingly positioned open models, data and tools as part of its broader AI strategy.

The company says it builds models, libraries and tools in the open so developers can use, modify and build on them.

Hugging Face provides a natural distribution and collaboration environment for that approach.

By acquiring the platform, NVIDIA gains a closer relationship with a large community of developers and organizations working with open models.

At the same time, Hugging Face gains access to NVIDIA's infrastructure, engineering resources and global reach.

NVIDIA said those resources could help improve platform reliability, safety, model evaluation, inference and deployment capabilities.

The company did not provide specific information about how these areas would change following the acquisition.

What the deal could mean for AI developers

For developers, the most important question may be whether Hugging Face's current model and infrastructure flexibility remains intact.

NVIDIA has stated that it will.

The company said developers will continue to select their preferred models, frameworks, cloud platforms, inference providers and computing platforms.

It also said open-source and open-weight models from across the ecosystem will continue to be supported.

For enterprises, this could mean the platform remains a central environment for evaluating and deploying models across different infrastructure choices.

However, the longer-term impact will depend on how NVIDIA integrates Hugging Face while maintaining those commitments.

The NVIDIA announcement does not provide detailed information about the future organizational structure, product roadmap or specific integration plans.

Why the acquisition matters for the AI industry

The transaction highlights the growing importance of the developer layer in AI.

AI infrastructure is no longer limited to processors and data centers. Developers also need models, datasets, libraries, evaluation tools, deployment services and environments where they can experiment and collaborate.

Hugging Face operates across many of those layers.

NVIDIA already holds a strong position in AI computing infrastructure. Acquiring Hugging Face gives the company a much closer relationship with a platform used by developers to discover and work with AI models.

The announcement highlights a broader industry shift toward competition across the full AI technology stack.

Companies are increasingly positioning themselves across hardware, software, models, developer tools and deployment infrastructure.

For NVIDIA, Hugging Face adds a major developer and open-model platform to that broader ecosystem.

The open-platform question

The acquisition also creates an important test for the open AI ecosystem.

NVIDIA has made clear commitments about platform openness, including support for multiple models, clouds and accelerators.

Those commitments will matter because Hugging Face serves developers who do not necessarily use NVIDIA hardware.

Maintaining that flexibility could help preserve the platform's appeal across the wider AI ecosystem.

At the same time, NVIDIA will have a direct commercial interest in growing demand for its computing infrastructure.

That creates a natural tension between platform neutrality and corporate strategy, which Reuters highlighted through concerns from some analysts and developers.

The acquisition announcement does not disclose how that tension will be managed beyond NVIDIA's stated commitment to keeping Hugging Face open.

What happens next

NVIDIA has announced an agreement to acquire Hugging Face, but the announcement does not provide a detailed timeline for completing the transaction.

The companies have not disclosed additional information about specific product integrations, organizational changes or future Hugging Face services as part of the announcement.

Additional details were not disclosed in the announcement.

For now, the clearest message from NVIDIA is that Hugging Face will remain an open platform and that developers will retain the ability to choose their preferred AI models, infrastructure and computing platforms.

NVIDIA and Hugging Face enter a new phase

The acquisition brings together two important parts of the modern AI ecosystem.

NVIDIA provides the computing infrastructure behind a large portion of AI development, while Hugging Face has built a global platform around models, datasets, tools and developers.

NVIDIA says the combination will help scale Hugging Face and expand access to AI while preserving its open ecosystem.

Reuters' reporting adds another dimension, highlighting concerns about NVIDIA's growing influence and whether the company's ownership could eventually affect hardware neutrality.

The outcome will depend largely on how NVIDIA balances those competing interests.

For developers, the immediate commitment is clear: Hugging Face will remain open, support models and tools from across the ecosystem, and continue to support multi-cloud and multi-accelerator development.

The acquisition therefore represents more than a large technology transaction. It is also a significant move in the ongoing competition to shape the infrastructure, software and developer ecosystem around open AI models.