Thomas Wolf 估算 Hugging Face 开源模型累计算力价值近 10 亿美元
Hugging Face 创始人自己算的账：开放模型相当于免费送出近 10 亿美元算力，两年涨了 20 多倍，还做了个可视化数据页面。
Hugging Face 联合创始人 Thomas Wolf 发推估算，Hub 上由 Meta、NVIDIA、Alibaba、DeepSeek、Moonshot、Mistral 等 30 多个实验室共享的开放权重模型，折算训练算力价值接近 10 亿美元。2023 年底这一数字还不到 4000 万美元，两年内增长超过 20 倍。他说明其中约一半来自官方公布的算力数据，其余为估算，且未计入约 90 万个社区微调模型。Wolf 将其比作用 GPU 小时写成的 AI 时代公共资源，类比志愿者写就的 Wikipedia。
$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 💬 2 🔄 1 ❤️ 14 👀 2249 📊 3 ⚡
