Nvidia and Hugging Face present their $12.93 billion tie-up as a way to give open AI more computing power and reach. The harder question is whether an open ecosystem can retain its independence once a dominant chipmaker owns one of its most important distribution channels.

Hugging Face began in 2016 as a collaborative home for AI models, datasets and tools — often called the “GitHub” of AI. Its importance grew with the boom in open-weight models, which users can download, modify and run themselves. By 2023, the company was valued at $4.5 billion after a funding round that included Nvidia.¹

The relationship was not always headed toward a sale. Hugging Face reportedly rejected a $500 million Nvidia investment last year, partly over concerns about taking on a single dominant investor. This summer, however, chief executive Clément Delangue said Hugging Face had reached a turning point and needed “more resources, more scale, more visibility”; he approached Nvidia, calling it “a perfect home.”²

Rumours of a roughly $13 billion transaction surfaced in late August, before Nvidia publicly confirmed its intention to buy the platform. The price — $12.9303 billion — even carried a playful nod to the Hugging Face emoji and Nvidia green, according to the companies’ online puzzle-making around the figure.³

Nvidia says the acquisition is an expansion of, not a retreat from, openness. Jensen Huang pledged that Hugging Face “will remain an open platform for the entire AI ecosystem,” and said developers would remain free to select models, frameworks, clouds, inference providers and computing platforms — without requiring Nvidia compute.⁴ In a message reposted by Elon Musk, Huang argued that open models strengthen safety and cybersecurity while widening AI access.Elon Musk (elonmusk)⁵

That promise matters because Hugging Face now hosts 3 million models, 500,000 datasets and 1 million applications for more than 18 million developers. Yet the deal also hands Nvidia control of a central channel for distributing open AI, potentially creating fresh demand for its chips as major customers build their own processors. Nvidia expects the transaction to close by 2027, subject to regulatory scrutiny.³

Supporters see scale as the point. Perplexity chief executive Aravind Srinivas said an accessible repository of open models and tools is “absolutely necessary” if AI is to remain useful to the public, welcoming Nvidia’s support for Hugging Face.Aravind Srinivas (AravSrinivas)⁶ The test now is whether that support preserves choice in practice, not merely in the announcement.