NVIDIA is buying Hugging Face for $12,930,300,000 and says its compute will not be required

If you pull model weights, datasets or a Space from Hugging Face, the company behind that registry now has a buyer. Jensen Huang wrote on September 3, 2026 that NVIDIA has agreed to acquire Hugging Face for $12,930,300,000. Nothing on the platform changed that day, because what was announced is an agreement, not a finished purchase.

What the post says

The announcement is short and full of counts. More than 18 million developers, researchers and creators use the platform, and they have shared more than 3 million models, 500,000 datasets and 1 million applications there. More than 200,000 companies use it to discover, evaluate, customize and deploy AI.

The second half of the post lists what NVIDIA promises not to change. Hugging Face stays open to the entire ecosystem, developers keep choosing their own models, frameworks, clouds and inference providers, and NVIDIA compute will not be required to build on or deploy through Hugging Face. NVIDIA also describes itself as the largest contributor of open models and data there, with more than 500 models and more than 250 open datasets released on the platform.

• The price in the post is exact rather than rounded: $12,930,300,000.
• Support for open source and open weight models from across the ecosystem continues, according to the post.
• So does multi-cloud and multi-accelerator development and deployment, according to the post.

What the post does not say

There is no closing date and no mention of the approvals a deal like this needs. Huang writes that NVIDIA has agreed to acquire the company, which is not the same as owning it, and a purchase of this size normally passes through competition authorities in more than one country before it completes.

The post is also silent on everything that shows up on an invoice: paid Hub tiers, hosted inference, storage limits on large repositories. One possible explanation is that none of it has been decided yet, which is the ordinary state of affairs on the day an agreement is announced.

What to watch if your work depends on the Hub

Nothing changed today, and there is no version of this deal in which weights vanish overnight. The things worth tracking move slower than that: which parts of the platform stay free, whether the registry keeps serving other vendors' accelerators as well as it serves NVIDIA's, and who gets to decide that.

• Pin a model to an exact revision rather than to a moving tag, so a repository that changes does not change your build.
• Keep your own copy of any weights a production system loads at startup.
• Read the license in the model repository itself, because a change of platform owner does not change a model's license.