Nvidia has reached an agreement to purchase the open-source AI platform Hugging Face in a deal valued at approximately $12.9 billion.
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ManyPress Editorial
Key facts
- •The acquisition deal is valued at approximately $12.9 billion, with $11.9 billion allocated to investors and $1 billion for employee incentives.
- •Nvidia stated that Hugging Face will remain an open platform and that users will not be required to use Nvidia chips or services.
- •Hugging Face currently supports more than 18 million developers and hosts over three million AI models.
- •The platform is used by more than 200,000 companies for AI model discovery and deployment.
- •The transaction remains subject to regulatory review.
Nvidia has announced an agreement to acquire Hugging Face, a prominent platform for AI developers and researchers, in a transaction valued at $12.93 billion. The deal includes $11.9 billion for investors and up to $1 billion in stock-based incentives for employees. Nvidia plans to maintain the Hugging Face brand and keep the platform open to the entire AI ecosystem, allowing developers to continue using their choice of models, cloud providers, and hardware.
By the numbers
Platform Scope and Operations
Founded in 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf, Hugging Face serves as a central repository for the AI community. The platform currently hosts over three million AI models, 500,000 datasets, and one million applications. It is utilized by more than 18 million developers and over 200,000 companies to discover, evaluate, and deploy AI features.
Strategic Rationale and Regulatory Outlook
Nvidia executives, including vice president of enterprise AI Justin Boitano, expressed confidence that the acquisition will receive regulatory approval. The move is seen as a way for Nvidia to expand its presence in AI software and diversify its business as major customers like Microsoft, Meta, and OpenAI develop their own proprietary chips. Nvidia CEO Jensen Huang has recently advocated for the importance of open-weight models, arguing that they ensure technical leadership remains distributed across various sectors.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by Ars Technica, BBC Technology, Artificial Intelligence News.
