Nvidia to buy AI platform Hugging Face for US$12.9b

Nvidia to buy AI platform Hugging Face for US$12.9b - RTHK Apps A A A įš įŽ€ Eng Menu News Homepage Latest News Video Gallery News Programmes Photo Gallery News Bulletins News Archive Send To RTHK News Error News Archive Live Video News Search 2025 2026 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Latest News Local Greater China World News Finance Sport News Bulletins Photo Gallery Video Gallery Can search within past 12 months Home Nvidia to buy AI platform Hugging Face for US$12.9b 2026-09-03 HKT 22:29 Share this story The deal to buy Hugging Face is expected to cement Nvidia as a central player in the market for open models that users can freely download, run and customise. File photo: Reuters Nvidia will buy popular developer platform Hugging Face for US$12.93 billion, betting that support for open AI models will drive future demand even as its biggest customers develop their own chips to reduce reliance on the semiconductor giant. Shares of the company were up 1.5 percent after the deal was announced on Thursday, which ranks among its biggest. The deal will cement Nvidia as a central player in the market for open models that users can freely download, run and customise, unlike the closed systems built by OpenAI and Anthropic. Nvidia has already played an active role in backing the open AI industry with its widely used Nemotron model. Acquiring Hugging Face will give it direct access to a platform developers use to collaborate, test and share tools using various open AI models, potentially providing valuable insight and data to help it narrow the technology gap with top US and Chinese labs. "Hugging Face will remain an open platform for the entire AI ecosystem," Nvidia CEO Jensen Huang said, adding that his company's chips would not be required to build on or deploy through Hugging Face. Under the deal, Nvidia will pay about US$11.9 billion to Hugging Face investors, while offering an equity-based reten
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