Nvidia Closes $12.93 Billion Purchase of Hugging Face, Buying the Distribution Layer for Open Models

Nvidia confirmed it will acquire Hugging Face for $12.93 billion, a price the sellers treated as a puzzle. Hugging Face co-founder Thomas Wolf publicly invited people to find the references to Hugging Face and Nvidia hidden inside the figure, and the Russian-language channel AI ML Big Data documented the resulting search across social media.

The structure matters more than the number. TechCrunch reported that roughly $11.9 billion goes to Hugging Face investors, with up to $1 billion set aside as equity retention for employees who move to Nvidia. Tom's Hardware noted that the platform hosts more than 18 million developers and more than 3 million models, 500,000 datasets and 1 million applications. That is the default place engineers go to find, evaluate and pull open weights.

Nvidia says the platform stays open and that its own chips will not be required to build or deploy through Hugging Face. Hugging Face's chief executive told CNBC the company approached Nvidia's chief executive, Jensen Huang, weeks before the deal was agreed, which reframes the transaction from a hostile takeover into a sale the seller initiated.

What Nvidia gains is visibility. A chip vendor that owns the registry sees which architectures are downloaded, which quantizations are used in production, and which inference stacks developers actually run. That telemetry is worth something independent of hardware lock-in, and it is exactly what competing accelerator vendors and cloud providers will now have to ask a rival for.