Over the past few years, and counting, the AI infrastructure market has spent a great amount of time and money (close to $7 trillion of data-centre investment by 2030, by McKinsey’s estimate) learning how to build large data centres wherever power is available. “Wherever” being the key word because the location wasn’t very important. A training cluster simply needs access to sufficient power. But location is starting to become increasingly relevant nowadays as AI’s usage grows beyond chat…