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Nvidia in talks to buy Hugging Face for $12.9 billion

Nvidia is reportedly in talks to acquire AI model repository Hugging Face for $12.9 billion, a massive deal that could secure the chipmaker's dominance over the open-source AI ecosystem.

Ars Technica AI10 hrs agoBusiness
Image: Ars Technica AI

Nvidia is actively pursuing an acquisition of the popular AI model platform Hugging Face for $12.9 billion, according to reports from The Information and CNBC. While the transaction has not been finalized and could still fall through, the acquisition would represent a massive consolidation of power in the artificial intelligence sector. Founded in 2016, Hugging Face has previously drawn investment from tech giants including Google, Microsoft, and Nvidia itself, while also attracting acquisition interest from rivals like Salesforce.

Hugging Face serves as the central hub for open-weight AI models, functioning much like GitHub does for traditional software. Developers use the platform to share, download, and fine-tune models. Although the repository is not yet profitable, its strategic value is immense. For Nvidia, the purchase offers a way to revive its struggling cloud AI business and secure a direct channel to the developers building on open-source technology. It also aligns with Nvidia's support for open-weight alternatives to proprietary systems, such as its own Nemotron family of models.

For AI practitioners, this acquisition could deeply influence how open-source models are developed and deployed. Nvidia could use its ownership to optimize Hugging Face's repository specifically for its own hardware, encouraging developers to remain locked into the Nvidia ecosystem. This move comes as frontier AI labs like OpenAI and Anthropic increasingly design custom chips to reduce their reliance on Nvidia's dominant hardware. By controlling the primary distribution channel for open-weight models, including emerging robotics and physical AI systems, Nvidia can safeguard its market position and ensure that the next generation of AI software remains optimized for its silicon.

This is our own summary of reporting by Ars Technica AI

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