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Thomas Wolf@Thom_Wolf
$40M to ~$1B in under two years Thomas Wolf @Thom_Wolf Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs have shared close to $1B worth of training compute on the Hugging Face Hub Free to download End of 2023 it was under $40M Wikipedia was written in volunteer hours. This AI age commons is written in GPU-hours and data (it's a floor btw: about half comes from official compute numbers rest is educated guess and it still miss the ~900k community fine-tunes) Space with data to explore: thomwolf-hub-dollars.static.hf.space 🔗 View Quoted Tweet
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---
tweet_id: "2111856722553831489"
author: "Thom_Wolf"
published_at: "2026-10-18T16:27:33+00:00"
source_url: "https://x.com/Thom_Wolf/status/2111856722553831489"
---

$40M to ~$1B in under two years

![Thomas Wolf](https://pbs.twimg.com/profile_images/2068682157451571200/_ZNKM_5E_normal.jpg)

Thomas Wolf@Thom\_Wolf

Fun and crazy napkin math: Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and ~30 other labs have shared close to $1B worth of training compute on the Hugging Face Hub  
  
Free to download  
  
End of 2023 it was under $40M  
  
Wikipedia was written in volunteer hours. This AI age commons is written in GPU-hours and data  
  
(it's a floor btw: about half comes from official compute numbers rest is educated guess and it still miss the ~900k community fine-tunes)  
  
Space with data to explore: [thomwolf-hub-dollars.static.hf.space](https://thomwolf-hub-dollars.static.hf.space)

![Tweet Image](https://pbs.twimg.com/media/HU64qHwXcAA7VmI.jpg)

[🔗 View Quoted Tweet](https://x.com/Thom_Wolf/status/2111828314851598745)