Rising AI power demands are pushing data center designers toward GaN-based power conversion for higher efficiency and density.

The rapid increase in AI computing performance is forcing a fundamental redesign of data center power architectures, with gallium nitride (GaN) emerging as a key technology for meeting the industry’s escalating efficiency and power density requirements.

Speaking during the EE Power Asia 2026 Spark Session, Dr. Alex Lidow, CEO of Efficient Power Conversion (EPC), and Jason Zhang, VP of DC/DC Marketing and System Engineering at EPC, outlined why conventional silicon power devices are approaching their practical limits as GPU power consumption continues to climb.

According to Zhang, AI accelerators have experienced a fourfold increase in power consumption across three GPU generations. Within the next two years, individual GPUs are expected to dissipate as much as 5kW while operating at core voltages below 1V, requiring current levels approaching 10,000A.