DRAM shortage throttles AI hyperscalers, cutting model training speeds. Senior Editor Samuel K. Moore estimates high‑bandwidth memory shortages could delay large‑model deployment by months. The article links the crunch to projected 12% U.S. power use by 2028 and 347 TWh AI energy consumption by 2030. Practitioners must plan for memory‑intensive workloads and consider hybrid storage to keep pipelines running.