A 14 percent reduction in training energy is possible by adjusting GPU clock frequencies during computation. Researchers at the University of Twente achieved these savings without sacrificing processing speed. This method targets computational waste in frontier models. It offers a direct efficiency gain for data centers managing massive power loads.