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Hugging Face estimates nearly $1B in training compute shared on its Hub

2 articles2 sourcessince Oct 18Last article 1h ago ·

Overview

AISummary of 2 articles

Hugging Face CEO Thomas Wolf estimates that Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and about 30 other labs have shared close to $1B of training compute on the Hub, and says that figure is a floor.

Wolf says about half comes from official compute numbers and the rest from educated guesses. The estimate excludes roughly 900k community fine-tunes, and he puts the end-2023 total under $40M.

Hugging Face's Merve Noyan says the economic value created by open-source AI is unmatched, linking to Wolf's post. Her post contains no figures of its own.

Written by AI from the articles below · updated Oct 18, 11:03 AM ET

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Developments

2 developments

  1. Oct 18, 10:50 AM ET · 1 article
    Open-source AI's economic value is unmatched, per Merve Noyan
    Merve Noyan: Open-source AI's economic value is unmatched, per Merve Noyan
  2. Oct 18, 10:34 AM ET · 1 article
    Hugging Face Hub models represent nearly $1B in shared training compute
    Thomas Wolf: Hugging Face Hub models represent nearly $1B in shared training compute

Article timeline

The articles in this story. Times are ET.

Oct 18
  1. merveX
    Open-source AI's economic value is unmatched, per Merve Noyan

    AIMerve Noyan of Hugging Face says the economic value created by open-source AI is unmatched. The post is a short statement with no figures of its own, and it links to a quoted post by Thomas Wolf estimating that labs including Meta, NVIDIA, Alibaba, and DeepSeek have shared close to $1B of training compute on the Hugging Face Hub.

  2. Thomas WolfX
    Hugging Face Hub models represent nearly $1B in shared training compute

    AIThomas Wolf, Hugging Face's CEO, estimates that Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and about 30 other labs have shared close to $1B of training compute on the Hub. He says that figure is a floor, with about half from official compute numbers and the rest educated guesses, and that it excludes roughly 900k community fine-tunes. He puts the end-2023 total under $40M.

    Image from @Thom_Wolf's post

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