AMD now plans to make rack-scale AI clusters much more energy efficient, as Team Red intends to deliver a 20x increase in efficiency by 2030, making computation more scalable.

AMD To Now Ensure That AI Doesn't Take Up Much Power By Delivering Exceptional Efficiency Figures

[Press Release]:

At AMD, energy efficiency has long been a guiding core design principle aligned to our roadmap and product strategy

Today at Advancing AI, we announced that AMD has surpassed our 30x25 goal, which we set in 2021 to improve the energy efficiency of AI-training and high-performance computing (HPC) nodes by 30x from 2020 to 2025. This was an ambitious goal, and we’re proud to have exceeded it, but we’re not stopping here

What This Means in Practice

A 20x rack-scale efficiency improvement at nearly 3x the prior industry rate has major implications. Using training for a typical AI model in 2025 as a benchmark, the gains could enable

Rack consolidation from more than 275 racks to <1 fully utilized rack

More than a 95% reduction in operational electricity use

Carbon emission reduction from approximately 3,000 to 100 metric tCO2 for model training

Source - WCCFTech 

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