SUNNYVALE, Calif., Oct. 13, 2025 – Alpha and Omega Semiconductor Limited (AOS) (Nasdaq: AOSL) a designer, developer, and global supplier of a broad range of discrete power devices, wide bandgap power devices, power management ICs, and modules, today announced support for the power requirements of the innovative 800 VDC architecture announced by NVIDIA. This architecture is set to power the next generation of AI data centers, which will feature megawatt-scale racks to meet the exponential growth of AI workloads.
The shift from traditional 54V power distribution to an 800 VDC system is a fundamental change in data center design, aimed at overcoming the physical limits of existing infrastructure. By reducing power conversion steps and enabling more efficient power delivery, the 800 VDC architecture promises significant efficiency gains, reduced copper usage, and improved reliability. This paradigm shift requires advanced power semiconductors, particularly Silicon Carbide (SiC) and Gallium Nitride (GaN), to handle the higher voltages and frequencies with maximum efficiency.
"As a key supplier to the high-performance data center market, our portfolio of SiC and GaN products is strategically aligned with the core technical demands of next generation AI factories with 800 VDC power architecture," said Ralph Monteiro, Sr. VP, Power IC and Discrete Product lines at AOS. "We are collaborating with NVIDIA to design 800 VDC power semiconductors to provide the high efficiency and power density necessary for the new power distribution modules, from the initial AC-to-DC conversion to the final DC-to-DC stages within the racks."
AOS' expertise in developing and manufacturing wide bandgap (WBG) semiconductors positions it as a strong enabler for this transition. The company's products are well-suited for the crucial power conversion stages highlighted in the next generation AI factory 800 VDC power architecture:
By providing these foundational power technologies, AOS is helping to advance the benefits of the 800 VDC architecture, including up to a 5 percent improvement in end-to-end efficiency, a 45 percent reduction in copper requirements, and a significant cut in maintenance and cooling costs. This reinforces AOS’ commitment to enabling the creation of more sustainable and scalable AI infrastructure.