AI servers consume significantly more power than traditional IT equipment, primarily due to the use of GPUs and high-performance accelerators. Typical ranges include: • Traditional servers: 300–800 W per server • GPU servers: 2–10 kW per server • AI racks: 20–100+ kW per rackAI is fueling high demand for compute power, spurring companies to invest billions of dollars in infrastructure. But with future demand uncertain, investors will need to make calculated decisions. Today they are. Recent trends indicate that AI data centers could require 68 gigawatts of power globally by 2027 — almost equivalent to California's 2022 total capacity. companies cannot find adequate power, they may build data centers abroad, potentially compromising U. AI leadership, increasing. This blog post explores innovations in power devices, gate drivers and advanced controllers with Digital Signal Processing (DSP) capabilities to meet Artifical Intelligence (AI) servers' power and efficiency needs. Where traditional server racks once operated at around 5–10 kW, modern AI environments are pushing far beyond that, often reaching 30 kW, 60 kW or even over 100 kW per rack. This shift is not just about compute.