Skip to content
NewsFunding & M&A

Nvidia Agrees to Acquire Hugging Face for $12.9 Billion in Open-Model Platform Deal

· by Pondero Newsdesk

The short version

Nvidia announced a definitive agreement to buy Hugging Face for $12.93 billion on September 3, 2026, putting the chip maker in control of the platform that hosts 3 million models and serves 18 million AI developers.

Nvidia Agrees to Acquire Hugging Face for $12.9 Billion in Open-Model Platform Deal

Nvidia agreed to buy Hugging Face for $12.93 billion, announcing the deal on September 3, 2026 in a post signed by CEO Jensen Huang. The acquisition hands a single company control over both the dominant AI chip supply chain and the platform where most open-weight model development lives.

What

The agreed price is $12,930,300,000, per Huang's post on the Nvidia blog. At that figure it is among the largest AI infrastructure acquisitions on record. The deal is expected to close in the first half of 2027, pending regulatory approval.

Hugging Face is the largest publicly accessible model-sharing platform in the AI industry. More than 18 million developers, researchers, and creators use it 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, per the same Nvidia announcement.

Both companies stated that Hugging Face will remain an open platform after the acquisition. Per Huang's post, Nvidia compute will not be required to build on or deploy through Hugging Face, and the platform will continue to support models and inference providers across multiple clouds and hardware vendors.

Why it matters

Hugging Face built its reputation on neutrality. Startups and researchers used it to share and run models without committing to a single cloud or hardware vendor. That status underpinned its growth to 18 million users. Nvidia acquiring it does not automatically break the neutrality promise. But it changes who owns the incentive to keep it.

Nvidia already controls a large share of AI training and inference compute. The addition of Hugging Face puts the chip maker in a position where it owns both the infrastructure most open-weight models run on and the marketplace where those models are shared and discovered. Regulators in the EU and UK have both shown willingness to open detailed probes when one company accumulates that kind of infrastructure stack. The combination gives them a clear theory of harm if Hugging Face were to favor Nvidia hardware in discovery rankings or pricing.

For AI-tool operators, access to Hugging Face models does not change before close and both companies have made the multi-cloud commitment publicly. The measure that will matter after close is whether inference pricing on Hugging Face shifts compared with competing providers. A price move on a platform this large would affect every team that runs inference through it rather than through a direct cloud deal.

TechCrunch's September 3 report confirmed the deal and noted analyst attention on the regulatory path as the primary variable between signing and close.

What to watch next

Regulatory filings from the EU and the UK Competition and Markets Authority will be the first concrete signal of how aggressively watchdogs treat the deal. On the product side, Hugging Face inference pricing relative to non-Nvidia alternatives is the metric that will show whether the stated neutrality holds after the acquisition closes.

Sources