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Power Architecture for AI Data Centers

Writer：Microhm Page View：Date：2026-06-26

The rapid expansion of artificial intelligence (AI) applications is driving unprecedented demand for high-performance computing power. Graphics Processing Units (GPUs), which are essential for AI workloads, consume extremely high levels of power. AI servers equipped with dozens of such GPUs result in power requirements that are several times higher than those of conventional server systems. As a result, the overall power density of AI server racks continues to increase significantly.

Comprehensive Power Semiconductor Portfolio for HVDC Systems
As power delivery architectures evolve, optimizing system-level power distribution becomes increasingly critical. Whether adopting 800 VDC or ±400 VDC architectures, improving the efficiency of power conversion systems is essential to maximize performance and reduce energy loss.

For an AI server rack consuming up to 1 MW of power, even a 2–3% improvement in conversion efficiency can translate into energy savings of 20–30 kW, a significant reduction that cannot be overlooked.

Microhm is committed to supporting power supply manufacturers and data center system integrators in optimizing next-generation power architectures. Through advanced power semiconductor solutions, we aim to enhance efficiency, reliability, and scalability for AI-driven data center infrastructure.

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Power Architecture for AI Data Centers

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