Meeting the unprecedented power demands of the artificial intelligence boom requires looking past headline-grabbing capacity ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

When one looks at the technical challenges facing the adoption of AI, thermal and power issues remain at the forefront. Mounting AI workloads are calling for robust chips that can switch at high ...

As chip complexities increase and the industry evolves to more battery-powered devices, power-aware/consumption research becomes an integral part of design in the ...

As AI and machine learning workloads accelerate, data center power consumption is beginning to outstrip existing infrastructure capacity. To meet this rising demand, new high-voltage DC standards ...

At APEC 2026, Alpha and Omega Semiconductor (AOS) showcased its latest power-management solutions directed at AI core, AI factory and industrial power needs. The exhibit contained examples of several ...

As artificial intelligence (AI) models and workloads continue to scale in size and sophistication, their hunger for processing power—and the energy that fuels it—is accelerating faster than any ...