Hugging Face 共享训练算力价值近 10 亿美元
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 Huggi
Thomas Wolf 估算，Meta、NVIDIA、阿里、DeepSeek、Moonshot、Mistral 等约 30 多家实验室在 Hugging Face Hub 上共享的训练算力价值已接近 10 亿美元，且可免费下载；2023 年底这一数字还不到 4000 万美元。他称该数字是下限：约一半来自官方算力数据，其余为合理推测，且尚未计入约 90 万个社区微调模型。
正文
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: https://t.co/hy28to6BiR