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The system, called aegaeon, was beta tested in alibaba cloud’s model marketplace for more than three months, where it reduced the number of nvidia h20 gpus required to serve dozens of models of. Alibaba cloud particulars a gpu pooling system that it claims decreased the variety of nvidia h20 required by 82% when serving dozens of llms of as much as 72b parameters — the brand new aegaeon system can serve dozens of enormous language fashions utilizing a fraction of the According to a report from south china morning post, aegaeon allows a single gpu to serve multiple ai models at once, drastically reducing the total hardware needed
Madman Media Online – Page 2
In testing, the system cut the number of nvidia h20 gpus required to serve dozens of models — some with up to 72 billion parameters — from 1,192 to just 213. Vincent chow / south china morning submit Alibaba introduces aegaeon, a computing pooling system reducing nvidia gpu reliance by 82%.
Alibaba cloud details a gpu pooling system that it claims reduced the number of nvidia h20 required by 82% when serving dozens of llms of up to 72b parameters — the new aegaeon system can serve dozens of large language models using a fraction of the gpus previously required, potentially reshaping ai workloads more
