Nvidia eyes Hugging Face in full-stack AI push![]() Nvidia may be taking one step closer to dominating the open-source AI ecosystem. The tech giant has agreed to buy Hugging Face, the dominant repository of open-source AI models, for $12.9 billion, according to a report by The Information, citing a source familiar with the agreement. This is a strategic move that allows Nvidia to diversify its portfolio from just chipsets and take ownership of more of the AI stack.This would give Nvidia ownership over the “front door for open AI innovation,” Ashish Nadkarni, Group VP of enterprise infrastructure at IDC, told The Deep View. “Owning that front door gives NVIDIA a major position in the mindshare of today’s AI development personas. “The deal comes as Nvidia faces mounting pressure from the very labs that rely on its chips. Google, OpenAI, and Anthropic are each moving toward custom or co-designed AI silicon, a shift that threatens Nvidia’s near-monopoly on AI hardware. Worse for Nvidia, these labs bring something it can’t easily replicate: deep, firsthand knowledge of the models the chips are meant to run, letting them tune hardware for performance in ways a general-purpose chipmaker can’t match. Hugging Face could eventually become a non-chip source of revenue for Nvidia, which could spur more growth if chip revenue eventually stops skyrocketing. A small caveat, however, is that, according to the report, Hugging Face has only generated $150 million in annualized revenue thus far. That makes Nvidia’s payment about 80 times the startup’s forward revenue, the report notes. Revenue aside, the advantage of being both a model and chip maker is a key reason Nvidia has invested heavily in open-source models. Nvidia’s commitment has been reflected not only in signing an open letter supporting the ecosystem, but also in internal investment in and development of open-source models, such as its Nemotron models. Of course, the Hugging Face acquisition moves that forward. Additionally, there’s a significant robotics angle: Nvidia already has a strong position with its Jetson, Isaac, and Omniverse solutions, and Hugging Face’s own robotics efforts give Nvidia another point of leverage as physical AI becomes the next frontier. And just today, Hugging Face unveiled Microduck, a $399 open-source robot that learns new tricks via reinforcement learning. Even its looks resemble the Nvidia “Blue” research robot, inspired by Star Wars’ BD-1, shown at demos, live events, and Disney. Still, as Nadkarni highlights, the acquisition would also mean there would be less choice in the industry. “To the extent that others like Intel, Apple, and AMD make similar plays, there will be fewer “ecosystem-neutral” platforms in the market,” said Nadkarni. “Note how Microsoft has gradually made GitHub more like an extension of its own strategy (and for its own benefit).” This is a landmark move for Nvidia, as it solidifies its efforts to be not just a chip company, but one that aims to own multiple layers of the AI stack at once. Hugging Face has become something like the GitHub of AI: serving as the industry’s central hub for sharing models, datasets, and applications. Owning that layer, on top of the hardware layer Nvidia already dominates, deepens the moat. Already, nearly every open model runs on Nvidia GPUs, and buying the platform where those models live removes any ambiguity. It’s also a defensive play: as OpenAI, Anthropic, Google, and Amazon push to build their own custom chips, controlling the distribution layer keeps developers tied to Nvidia’s ecosystem regardless of who’s building the silicon.![]() |
-
Archives
- August 2026
- July 2026
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- March 2015
- January 2015
-
Meta

This is a landmark move for Nvidia, as it solidifies its efforts to be not just a chip company, but one that aims to own multiple layers of the AI stack at once. Hugging Face has become something like the GitHub of AI: serving as the industry’s central hub for sharing models, datasets, and applications. Owning that layer, on top of the hardware layer Nvidia already dominates, deepens the moat. Already, nearly every open model runs on Nvidia GPUs, and buying the platform where those models live removes any ambiguity. It’s also a defensive play: as OpenAI, Anthropic, Google, and Amazon push to build their own custom chips, controlling the distribution layer keeps developers tied to Nvidia’s ecosystem regardless of who’s building the silicon.