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 ...
You have options for how much memory is assigned to the GPU. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. A few months after the gaming ...
A new technical paper titled “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference” was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de ...
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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