NVIDIA Agrees to Acquire Hugging Face for $12.93 Billion in Major Open AI Bet

NVIDIA has agreed to acquire Hugging Face for $12.93 billion, bringing one of the world’s largest open AI development platforms into the chipmaker’s expanding AI ecosystem. NVIDIA announced the deal on September 3, 2026, saying the acquisition will help scale Hugging Face’s platform, strengthen its infrastructure and broaden access to AI for developers and institutions worldwide.

The deal is one of NVIDIA’s biggest moves beyond AI hardware and gives the company a much deeper position in the open-model ecosystem. Hugging Face has become a major destination for developers and researchers working with open-source and open-weight AI models, datasets and applications.

NVIDIA says Hugging Face will remain an open platform after the acquisition. Developers will still be able to choose their preferred models, frameworks, cloud providers, inference services and computing platforms, rather than being required to use NVIDIA hardware.

NVIDIA Is Betting Big on Open AI Models

Hugging Face has grown into a central hub for the open AI community.

According to NVIDIA, more than 18 million developers, researchers and creators use the platform. They collectively share more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use Hugging Face to discover, evaluate, customize and deploy AI technologies.

That scale makes the acquisition strategically important for NVIDIA.

The chipmaker has dominated the hardware side of the AI boom, but the industry is increasingly focused on the software, models and developer tools that determine how AI systems are actually built and deployed.

Hugging Face gives NVIDIA access to a large community already working across that software ecosystem.

Hugging Face Will Stay Open, NVIDIA Says

One of the biggest questions surrounding the acquisition is whether Hugging Face will remain independent in how it supports AI hardware and cloud providers.

NVIDIA has attempted to address that concern directly.

The company says developers will continue to have freedom over the models, frameworks, clouds, inference providers and computing platforms they use. NVIDIA compute will not be mandatory for building or deploying through Hugging Face.

NVIDIA also says Hugging Face will continue supporting open-source and open-weight models from across the AI industry, including models created by companies and developers outside NVIDIA.

Its platform is also expected to continue supporting multi-cloud and multi-accelerator development and deployment.

That commitment could be particularly important for companies using competing AI accelerators from other chipmakers.

A Major Expansion of NVIDIA’s Open-Source Strategy

NVIDIA has increasingly promoted open models as an important part of the future of AI.

The company says it has already contributed more than 500 models and 250 open datasets to Hugging Face, making NVIDIA its largest contributor of open models and data.

The acquisition could allow those efforts to operate at substantially greater scale.

NVIDIA says its infrastructure, engineering resources and global reach can help Hugging Face improve areas including platform reliability, safety, model evaluation, inference and deployment.

For developers, the potential benefit is straightforward: a larger platform with more infrastructure and resources could make it easier to experiment with, customize and deploy AI models.

The Deal Is Worth $12.93 Billion

The headline figure is unusually precise: $12,930,300,000.

NVIDIA’s regulatory filing provides additional detail. The transaction includes approximately $11.9 billion payable to Hugging Face stockholders, subject to adjustments, along with an equity-based retention program of up to approximately $1 billion for Hugging Face employees joining NVIDIA.

The transaction is not expected to close immediately.

According to NVIDIA’s filing with the U.S. Securities and Exchange Commission, the acquisition is expected to close in the first half of 2027, subject to customary closing conditions and required regulatory approvals.

Why NVIDIA Wants Hugging Face

The acquisition reflects a broader shift in the AI industry.

AI competition is no longer only about who can build the fastest accelerator. Developers need models, datasets, software libraries, evaluation tools, inference infrastructure and deployment services.

Hugging Face sits directly in the middle of that ecosystem.

By acquiring the platform, NVIDIA can strengthen its relationship with millions of developers who build AI systems while continuing to position its hardware and software as part of the infrastructure powering those workloads.

The move also comes as open-weight AI models become increasingly important alternatives to closed systems offered through proprietary AI platforms.

What the Acquisition Means for Developers

For developers, the immediate message from NVIDIA is that the Hugging Face experience should remain broadly open.

Users will continue to be able to work with models and datasets from different organizations and use different infrastructure providers.

That is significant because Hugging Face’s value has largely come from being a neutral meeting point for the AI community.

If NVIDIA maintains that neutrality, the acquisition could provide Hugging Face with additional resources without fundamentally changing how developers use the platform.

However, the long-term relationship between Hugging Face and NVIDIA will remain something the industry watches closely.

NVIDIA’s influence over AI computing is already enormous, so maintaining genuine multi-accelerator and multi-cloud support will be an important test of the company’s commitment to the open ecosystem.

NVIDIA and Hugging Face Are Joining at a Critical AI Moment

The acquisition brings together two influential parts of the AI industry: NVIDIA’s massive computing infrastructure and Hugging Face’s developer and open-model community.

NVIDIA CEO Jensen Huang said the two companies share a vision for making AI more open, capable and accessible.

For Hugging Face, the deal provides access to the resources of one of the world’s most powerful AI companies.

For NVIDIA, it provides a much stronger position in the software and model layer of AI.

The acquisition still needs to clear regulatory requirements before it can close. Until then, the biggest question will be whether NVIDIA can expand Hugging Face’s capabilities while preserving the openness that made the platform so important to AI developers in the first place.

Why This Matters

The NVIDIA-Hugging Face deal could become one of the defining AI acquisitions of the decade because it connects AI computing infrastructure with the open-model ecosystem.

If NVIDIA succeeds in scaling Hugging Face without restricting developers’ choice of models, chips or cloud platforms, the combined company could become an even more important layer of the global AI stack.

The next major milestones will be regulatory approval, the expected 2027 closing and how NVIDIA ultimately integrates Hugging Face while maintaining its promised open-platform approach.