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Alibaba group holding has introduced a computing pooling solution that it said led to an 82 per cent cut in the number of nvidia graphics processing units (gpus) needed to serve its artificial. It also could reduce demand for pricey new gpus from nvidia. Aegaeon has already been beta deployed in alibaba cloud’s model marketplace, where it serves dozens of models in production
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Results show it reduced the number of nvidia gpus required from 1,192 to 213, saving 82% of gpu resources. Alibaba researchers devise efficient gpu pooling system, reducing gpu use 82% drastically reducing the amount of gpus needed for running ai models could have big consequences for the scale of huge data centers, while benefitting smaller organizations Alibaba introduces aegaeon, a computing pooling system reducing nvidia gpu reliance by 82%.
That’s obviously untenable given the cost of gpus and, for alibaba, the difficulty of acquiring kit from nvidia and amd due to us sanctions.
