Nearly every open weight model released this year was published in the same place. On 3 September the company that makes the chips they run on agreed to buy it, for $12.93bn.

Nvidia will pay $12.93bn for Hugging Face, with an equity retention package worth up to $1bn for employees who move across. It is Nvidia's second largest acquisition, after the $20bn it paid for Groq's assets in December 2025. The platform hosts more than 3 million models and serves 18 million developers and over 200,000 companies. Hugging Face's chief executive told CNBC that the company approached Jensen Huang weeks before the deal, rather than the other way round. Huang published a set of unusually specific commitments about keeping the platform open, which is why the reaction has been mixed rather than uniformly hostile.

Why this one is different

Buying open source infrastructure is not new, and the warnings are not always right: Microsoft bought GitHub and it went better than most people predicted. This one differs in a way that has nothing to do with anybody's intentions. Microsoft did not sell a product that competed with the code on GitHub. Nvidia sells the silicon these models have to run on. If a quantisation format or a serving optimisation lands working best on Nvidia first and the other backends catch up months later, nothing improper has happened and the effect is the same, because developers stay on whatever path is fastest the day they start.

Microsoft did not sell a competitor to the code on GitHub.

How we got here

1. 14 Aug 2026Alibaba releases Qwen3.8-27B under Apache 2.0, distributed on Hugging Face.
2. 26 Aug 2026Qwen3.8-Flash-Next tops the Hugging Face trending list, which much of the field reads as the scoreboard for open models.
3. 28 Aug 2026Tencent ships HY4 preview, 770B parameters, open weights, in the same place.
4. 31 Aug 2026Anthropic signs $35bn of cloud with Lambda, and Nvidia holds the lease on the building.
5. 3 Sep 2026Nvidia agrees to buy the platform every one of those was published on.

What it does and does not mean

None of this has happened yet. A transaction this size requires an HSR filing in the United States and a waiting period before it can close, and full review is expected in the US and the EU and probably the UK, against a company already under active antitrust inquiry on both sides of the Atlantic. Nvidia's own argument is that an open platform is a deconcentrating force rather than a concentrating one, and a regulator, not a reader, will decide whether that holds. What is already true whatever the outcome is narrower and worth saying plainly: the open weights movement keeps its distribution, its discovery and its scoreboard in a single place, and this month established what that place is worth to the company selling the hardware underneath it.