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While some of the best GPUs may come to mind when you think of Nvidia, the company’s recent AI contributions go far beyond selling CPUs, and those contributions may intensify after the recent announcement that Nvidia has agreed to acquire the company Hugging Face. The deal was made public on September 2, 2026, and the $12.9 billion deal, which is expected to close in the first half of 2027, places one of the most prominent figures in open AI development under Team Green’s purview.
Hugging Face is a community for over 18 million developers and power users to come together, collaborate, and share AI models (among other resources like tutorials) designed for various data science and machine learning solutions. Visit the Hugging Face website and you’ll see that one of its most important features is the Hugging Face Hub, a huge repository where creators can find and share apps, models, and datasets. It’s similar to GitHub, but with a much greater emphasis on machine learning and AI development.
But this is not just for individuals. According to Nvidia, “more than 200,000 companies use the platform to discover, evaluate, personalize and deploy AI”, so the acquisition of Hugging Face is a two-pronged attack strategy. acquire a major AI player anchored in a significant part of enterprise technology and gain direct access to a passionate community of creators and their projects.
Why would Nvidia buy Hugging Face?
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Over the years, Nvidia has built an entire software ecosystem to complement its hardware, including CUDA (Compute Unified Device Architecture), which is a major advantage of moving to Nvidia GPUs according to owners, and a growing list of AI tools, libraries and models. The acquisition of Hugging Face gives Nvidia ownership of a platform that millions of developers use to discover, customize and deploy these models, expanding the company’s reach beyond the hardware and software infrastructure that powers these applications.
Hugging Face’s emphasis on open models is particularly important for Nvidia here – unlike proprietary services that keep the architecture and weights behind closed doors, open-source and open-weight models give developers much more freedom to access, modify and distribute AI models on their own infrastructure. Hugging Face quickly became a bustling distribution point for these models.
Nvidia CEO Jensen Huang has also been a strong proponent of open models, and Nvidia itself has already contributed hundreds of models and datasets to Hugging Face, including the GR00T training data which ranked among the top 10 most downloaded datasets across the entire platform. In addition to expanding Nvidia’s hold on the AI sector, the acquisition also has a defensive aspect. Nvidia’s major customers are developing their own AI processors, including Microsoft (Maia 200), Google (Tensor Processing Units), and Amazon (Trainium 3), potentially reducing their reliance on Nvidia’s products over time. Owning a platform used by millions of AI developers could give Nvidia another way to maintain its influence over the broader AI ecosystem.
What this means for Hugging Face developers
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For now, developers shouldn’t expect Hugging Face to become an Nvidia-only ecosystem. Huang explicitly stated that “Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want, and the computing platforms they want.” In other words, you won’t have to jump through any Nvidia-shaped hurdles to build or deploy to the Hugging Face community.
Nvidia’s ample resources could also enable significant expansion. Huang says Nvidia plans to leverage its infrastructure, engineering and global reach to improve the platform’s reliability, security, model evaluation, inference and deployment capabilities on Hugging Face. This is particularly beneficial when open source and open-weight projects are involved: there is strength in numbers.
Still, Nvidia ownership is unlikely to be viewed positively by all. Aside from the recent Hugging Face security controversy following an OpenAI hack, Nvidia is planting its green flag in a tight-knit community that was previously unbound by an overarching company’s commitment to shareholders, interests in company expansion, and possible future rules and restrictions. Huang’s commitment to maintaining the open source nature of Hugging Face is reassuring for now, but developers will ultimately have to wait and see if this promise is kept.
