Renesas Electronics Corporation has announced its support for NVIDIA’s 800 VDC power architecture, introducing advanced GaN-based power technologies designed to enhance efficiency, scalability, and energy optimization in next-generation AI data centers.
As AI workloads accelerate and data center power consumption reaches hundreds of megawatts, the industry is moving toward higher-voltage, direct-current systems that reduce energy loss and simplify power distribution. Wide bandgap semiconductors such as gallium nitride (GaN) are emerging as the key enabler of this transformation, offering faster switching speeds, lower conduction losses, and superior thermal performance compared to traditional silicon devices.
Renesas’ GaN-based power solutions are engineered to support efficient DC/DC conversion across a wide range of operating voltages, from 48 V up to 400 V, with the capability to scale to 800 V in stacked configurations. Using the LLC Direct Current Transformer (LLC DCX) topology, these converters achieve efficiencies of up to 98 percent while maintaining high power density and compact form factors.
For the AC/DC front end, Renesas employs bi-directional GaN switches that simplify rectifier design and increase system-level efficiency. The company’s broader power component lineup—including REXFET MOSFETs, controllers, and drivers—complements these converters, providing a complete power delivery ecosystem for high-performance AI infrastructure.
“AI is transforming industries at an unprecedented pace, and the power infrastructure must evolve just as quickly to meet the explosive power demands,” said Zaher Baidas, Senior Vice President and General Manager of Power at Renesas. “Renesas is powering the future of AI with scalable, high-density energy solutions built on our advanced GaN and MOSFET technologies, ensuring the performance and efficiency required for the next wave of AI innovation.”
Renesas has also released a white paper detailing its approach to 800 VDC power distribution and conversion, exploring how its GaN-based solutions support the evolution of energy-efficient, large-scale AI data center infrastructure.
Original – Renesas Electronics