AI 精选动态
智能评分 65
Hugging Face 成为机器人视频AI数据存储热点
AI 推荐理由
展示了AI数据存储性能优化的具体方案和量化收益，值得开发者关注存储架构设计核心解读
Hugging Face 正在成为公共和私有数据存储的热门平台，特别适用于机器人和视频AI等数据量大、持续增长的领域。2025年初公共机器人数据集从1,000增长到60,000个，私有数据集数量也翻倍。单个机器人全天录制数据速率达140 MB/s，若处理不当GPU可能处于0 MB/s空闲状态，但通过Hub直播和预热缓存可提升至1,326 MB/s。
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AK (@_akhaliq) 转发了 clem 🤗 (@ClementDelangue) 的帖子：
HF is quietly becoming the best place to store data, public AND private, especially for brutal domains like robotics and video AI where the files are massive, append-only, and never stop growing.
Example? Public robotics datasets exploded from 1,000 in early 2025 to 60,000 today, and there's twice as many private ones.
Why? A single robot records at 140 MB/s, all day, forever. That data has to be stored, streamed to GPUs, and shipped back to hardware on repeat. Get it wrong and your GPUs sit idle at 0 MB/s waiting for a dataset to land. Get it right (stream straight from the Hub, pre-warmed cache) and those same GPUs scream along at ~1,326 MB/s, fully fed. 🚀
Here's how LeRobot + Hugging Face Storage Buckets pull it off: https://t.co/SOUPAUpiZc
