AI hyperscalers consumed 15 terawatt‑hours of electricity in 2025, according to Senior Editor Samuel K. Moore. The surge has strained the supply of High Bandwidth Memory (HBM), a critical component for running large language models. As the shortage tightens, developers must prioritize memory‑efficient architectures to keep training timelines on schedule.