Training large AI models takes a huge amount of electricity. For example, GPT-4 used about 50 gigawatt-hours—enough power for 5,000 U.S. homes for a year. That’s just one model, and AI demand keeps growing. Data centers face a real challenge balancing power use and performance. One smart way to save energy is tweaking the hardware










