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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 ...
If you want the best gaming performance out of your PC, the traditional wisdom is that you should chase 100% GPU utilization. There's some truth to that sentiment. If you're looking for the best ...
Investing.com -- Alibaba Cloud has published a paper detailing its Aegaeon GPU resource optimization solution for large language model (LLM) concurrent inferencing, the company announced Monday. 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 ...
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