Hugging Face estimates nearly $1B in training compute shared on its Hub
Overview
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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- Oct 18, 10:50 AM ET · 1 articleOpen-source AI's economic value is unmatched, per Merve NoyanMerve Noyan: Open-source AI's economic value is unmatched, per Merve Noyan
- Oct 18, 10:34 AM ET · 1 articleHugging Face Hub models represent nearly $1B in shared training computeThomas Wolf: Hugging Face Hub models represent nearly $1B in shared training compute
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The articles in this story. Times are ET.
merve@mervenoyannXOpen-source AI's economic value is unmatched, per Merve NoyanAIMerve 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.
Thomas Wolf@Thom_WolfXHugging Face Hub models represent nearly $1B in shared training computeAIThomas 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.

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