The chip giant’s acquisition of the world’s largest AI model repository consolidates its grip on the entire AI stack — from silicon to software to community standards.
Nvidia confirmed on September 3 that it has agreed to acquire **Hugging Face for $12.93 billion**, including an equity-based retention program of up to $1 billion for employees joining Nvidia . The price represents a significant jump from the $7 billion valuation discussed during initial negotiations late last year .
Hugging Face, founded in 2016 by three French entrepreneurs, hosts millions of open-source AI models and serves as the de facto collaboration hub for the global machine learning community . Nvidia CEO Jensen Huang said the acquisition would help “expand the platform’s scale, strengthen Hugging Face’s infrastructure, and increase AI accessibility for developers and organizations worldwide” .
The strategic logic is clear: Nvidia already dominates AI training chips. By owning Hugging Face, it gains influence over which models get published, discovered, and adopted — potentially shaping the trajectory of open-source AI itself. Critics have raised concerns about concentration of power in the AI supply chain, particularly given Nvidia’s existing role as investor, supplier, and now platform owner.