Tom's Hardware on MSN
Alibaba Cloud says it cut Nvidia AI GPU use by 82% with new pooling system— up to 9x increase in output lets 213 GPUs perform like 1,192
Alibaba Cloud claims its new Aegaeon pooling system reduced the number of Nvidia GPUs required to serve large language models ...
Prioritizing AI hardware optimization is about keeping budgets in check, minimizing energy consumption and supporting the ...
Big Tech is spending tens of billions quarterly on AI accelerators, which has led to an exponential increase in power consumption. Over the past few months, multiple forecasts and data points reveal ...
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