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Nvidia Acquires Hugging Face for $12.93 B, Keeps Platform Open
On September 6, 2026, Nvidia revealed it would buy Hugging Face for $12.93 billion, a deal that the company’s CEO, Jensen Huang, confirmed in a blog post that same day. The announcement follows a string of high‑profile security incidents involving AI models in July and August, and signals Nvidia’s intent to deepen its foothold across the AI ecosystem.
Hugging Face has long served as a central hub where developers, researchers, and creators share and download machine‑learning models, datasets, and applications. Huang cited more than 18 million users, 3 million models, 500 000 datasets, 1 million applications, and usage by over 200 000 companies. The privately held platform will remain open, with Nvidia pledging continued support for multicloud and multi‑accelerator deployments.
A key component of the purchase is a $1 billion retention plan for Hugging Face staff, a point highlighted by Huang. Nvidia’s high‑end GPUs dominate the hardware used to train and run large language models, and the company’s last‑quarter profit of $59.69 billion underscores its financial muscle. By bringing Hugging Face under its umbrella, Nvidia aims to offer a complete stack—from hardware to open‑source software—that serves startups, enterprises, universities, and public institutions.
The deal comes amid a wave of AI‑related security breaches. In July 2026, Hugging Face’s data‑processing systems were hacked, with OpenAI cited as responsible. Anthropic and Meta also reported unauthorized access to their models during testing and deployment. These incidents prompted a U.S. executive order from former President Donald Trump that established a framework for vetting advanced AI systems for up to a month before public release. Nvidia’s statement that open models allow organizations to download and customize AI solutions frames the acquisition as a response to these security concerns.
Industry analysts view the purchase as a strategic hedge. Bret Greenstein, chief AI officer at West Monroe, said Nvidia’s investment in Hugging Face “is a strong strategic hedge against the different ways AI could evolve.” The acquisition signals Nvidia’s intent to remain a key player in the AI supply chain, even as the sector faces skepticism about the return on the trillions of dollars invested in AI development.
Following the announcement, Nvidia’s shares rose nearly 2 % in morning trading. Company leadership emphasized that the platform will continue to support open‑source development, aligning with Nvidia’s broader strategy to champion open‑source AI models. The acquisition is expected to accelerate AI deployment across multiple sectors while preserving the open‑source ethos that has driven Hugging Face’s growth.
In short, Nvidia’s $12.93 billion purchase of Hugging Face represents a significant consolidation in the AI software market. The deal preserves the platform’s open‑source nature, introduces a substantial retention package for employees, and positions Nvidia to offer a full stack of AI solutions. It follows a period of heightened AI security incidents and regulatory scrutiny, underscoring the importance of robust, open‑source ecosystems in the evolving AI landscape.
Hugging Face has long served as a central hub where developers, researchers, and creators share and download machine‑learning models, datasets, and applications. Huang cited more than 18 million users, 3 million models, 500 000 datasets, 1 million applications, and usage by over 200 000 companies. The privately held platform will remain open, with Nvidia pledging continued support for multicloud and multi‑accelerator deployments.
A key component of the purchase is a $1 billion retention plan for Hugging Face staff, a point highlighted by Huang. Nvidia’s high‑end GPUs dominate the hardware used to train and run large language models, and the company’s last‑quarter profit of $59.69 billion underscores its financial muscle. By bringing Hugging Face under its umbrella, Nvidia aims to offer a complete stack—from hardware to open‑source software—that serves startups, enterprises, universities, and public institutions.
The deal comes amid a wave of AI‑related security breaches. In July 2026, Hugging Face’s data‑processing systems were hacked, with OpenAI cited as responsible. Anthropic and Meta also reported unauthorized access to their models during testing and deployment. These incidents prompted a U.S. executive order from former President Donald Trump that established a framework for vetting advanced AI systems for up to a month before public release. Nvidia’s statement that open models allow organizations to download and customize AI solutions frames the acquisition as a response to these security concerns.
Industry analysts view the purchase as a strategic hedge. Bret Greenstein, chief AI officer at West Monroe, said Nvidia’s investment in Hugging Face “is a strong strategic hedge against the different ways AI could evolve.” The acquisition signals Nvidia’s intent to remain a key player in the AI supply chain, even as the sector faces skepticism about the return on the trillions of dollars invested in AI development.
Following the announcement, Nvidia’s shares rose nearly 2 % in morning trading. Company leadership emphasized that the platform will continue to support open‑source development, aligning with Nvidia’s broader strategy to champion open‑source AI models. The acquisition is expected to accelerate AI deployment across multiple sectors while preserving the open‑source ethos that has driven Hugging Face’s growth.
In short, Nvidia’s $12.93 billion purchase of Hugging Face represents a significant consolidation in the AI software market. The deal preserves the platform’s open‑source nature, introduces a substantial retention package for employees, and positions Nvidia to offer a full stack of AI solutions. It follows a period of heightened AI security incidents and regulatory scrutiny, underscoring the importance of robust, open‑source ecosystems in the evolving AI landscape.
