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๐Ÿ‡ซ๐Ÿ‡ท France /Technology

Why Nvidia Is Spending $13 Billion to Buy Franco-American AI Star Hugging Face

From Le Figaro · () French

Translated from French and summarized by DistantNews. Read the original for the full story.

At a glance

Analysis Sources not specified New plan
  • Nvidia announced the $13 billion acquisition of Hugging Face, one of its largest purchases.
  • Founded in 2016 by Thomas Wolf, Julien Chaumond and Clรฉment Delangue, Hugging Face operates a collaborative marketplace for open-source AI models.
  • The deal gives Nvidia access to a platform where developers create, train, share, analyze and improve AI models.

Nvidia is spending $13 billion on Hugging Face, making one of its biggest acquisitions to secure a leading platform for open-source artificial intelligence.

The Franco-American startup, founded in 2016 by French entrepreneurs Thomas Wolf, Julien Chaumond and Clรฉment Delangue, has built a model library that developers around the world rely on. Nvidia announced the purchase after reporting another exceptionally strong set of financial results.

Hugging Face operates as a collaborative marketplace for AI. Users can create a model, train it on their own data or on datasets available through the platform, and share their work with the community for free. Other developers can then examine, discuss and improve those models.

The acquisition also fits with Nvidia chief executive Jensen Huangโ€™s repeated support for open source, which he argues can help spread AI more widely. For Nvidia, the purchase brings together the companyโ€™s powerful position in AI chips and a platform built around the development and circulation of models. The deal places Hugging Faceโ€™s open-source library at the center of one of the technology sectorโ€™s largest acquisitions.

About this summary

Originally published by Le Figaro in French. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.