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 ...

How To Get The Most Out Of GPUs In The Agentic AI Era

Prioritizing AI hardware optimization is about keeping budgets in check, minimizing energy consumption and supporting the ...
Semiconductor Engineering

GPU Analysis Identifying Performance Bottlenecks That Cause Throughput Plateaus In Large-Batch Inference

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 ...
Forbes

AI Power Consumption: Rapidly Becoming Mission-Critical

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 ...