CLOUD & 5G
prepare for AI workload growth of around 30 % per year going forward . “ We expect the total workload from data centres to grow from 54GW in 2023 to around about 90GW in 2025 . The AI components of that will go from around 8 % last year to around about 20 % going forward . So the acceleration is significant and the change is significant that we see .”
Cutting-edge AI models and workflows Dion Harris from Nvidia ’ s Accelerated Data Center Infrastructure group highlights how the AI models fueling today ’ s innovations like ChatGPT are rapidly evolving .
“ In the early days , AI focused on image classification with convolutional neural networks ,” he explained . “ Then transformer models enabled large language models like GPT , with billions of parameters trained on vast datasets .”
The latest frontier , according to Dion , is models based on Mixtures of Experts ( MoE ) that split the parameter
“ Data is ultimately going to drive efficiency , and we need to drive efficiency within our centres to be able to support that ”
MARC GARNER SVP SECURE POWER , SCHNEIDER ELECTRIC
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