A 14 percent reduction in energy use 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. It provides a concrete path for labs to lower power overhead during massive training runs.