Power semiconductors are soon set to become as vital as GPUs and CPUs in datacenters, handling the rapidly increasing loads forecast for AI infrastructure.

The AI craze has seen datacenter operators stuffing servers with as many accelerators (typically GPUs) as will fit inside, then filling the racks in their data halls with these high-performance boxes.

With some GPUs now using 700 W of energy each, the power required by an entire rack or datacenter of kit is growing rapidly, putting a strain on electrical distribution infrastructure.

Last year, Nvidia introduced an integrated rack-scale system for AI processing, the DGX GB200 NVL72, which needs 120 kW per unit, while cloud giant Google disclosed this year that it i…

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