Research · IEEE Spectrum AI ·
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
Researchers at the University of Twente reported that adjusting GPU clock frequency with dynamic voltage-frequency scaling can reduce energy used in LLM training by up to 14% without slowing training. The work was presented at the Computing Frontiers conference and focuses on improving hardware efficiency during model