Powering AI with Speed: Pervez Siddique on Co-Locating Data Centers with Clean Energy Infrastructure In the race to build out our AI-driven future, an often-overlooked truth is emerging: artificial intelligence runs on electricity before it runs on code . As model complexity increases, so does the computing power required to support it. A single AI training run, in some parts of the country, can consume as much electricity as dozens of U.S. homes do in a year. That energy has to come from somewhere—and how we generate and deliver it may be one of the defining infrastructure questions of the next decade. While much of the AI industry’s growth has centered on cloud performance and compute scaling, a new priority is taking shape behind the scenes: ensuring that the energy needed to fuel this growth can be delivered reliably, sustainably, and locally. Time to power and power capacity are two of the most pressing issues in digital infrastructure development at the moment. And th...
