Hardware4h ago
GPU Clock Tuning Cuts LLM Training Energy
A 14 percent reduction in energy consumption is possible by adjusting GPU clock frequencies during computation. Researchers at the University of Twente achieved these savings without sacrificing training speed. This method targets computational waste in frontier models. Practitioners can now lower power overhead without compromising the performance of large-scale training runs.