GaN Power Conversion Gains Attention in AI Data Centers

EE Times Asia reports that AI data-center power needs are increasing interest in gallium nitride power-conversion architectures. The focus is on improving efficiency and density as infrastructure teams deal with heavier power requirements. For memory markets, this is an indirect infrastructure signal. More efficient power delivery can help support AI server deployments that also consume HBM and server DRAM, but the payload does not indicate a direct memory pricing change.