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Alibaba introduces aegaeon, a computing pooling system reducing nvidia gpu reliance by 82%. It also could reduce demand for pricey new gpus from nvidia. 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.
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The chinese cloud champ therefore developed gpu pooling and memory management tech that means it can run more models on each gpu and offload data into a host’s memory or other storage 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 cloud has introduced a gpu pooling technology that significantly cuts down the number of nvidia h20 units needed
The new system reportedly reduces the use of these gpus by 82% while managing multiple large language models with up to 72 billion parameters.
