Behind every leap in machine learning is a data center crammed floor to ceiling with power-hungry silicon and heat-gushing server racks. The company is expanding its Reality Digital Twin solution to support NVIDIA’s most advanced AI supercomputer, the GB200-based DGX SuperPOD, which consumes around a megawatt of power. Large-scale digital twins are already starting to play a major role in supporting AI data centers — what NVIDIA refers to as AI factories—which consume hundreds of megawatts each. But they’re bound to become even more important as companies scale up computing, power, and cooling infrastructure into the gigawatt range, said Cadence. “Power is the new currency in data centers,” said Rob Knoth, Senior Group Director of Strategy and New Ventures at Cadence.