Wise Integration and Navitas Semiconductor are working together to develop advanced power-conversion solutions for AI PCs, workstations, gaming systems, industrial computers, and data centers. The collaboration combines Wise Integration’s digital-control technology for wide-bandgap power converters with Navitas’ gallium nitride (GaN) and silicon carbide (SiC) semiconductor solutions.
The initial effort will target power supply units (PSUs) for AI data centers, while the companies also plan to investigate new power-conversion topologies for high-voltage and high-power applications. Their goal is to address growing power demands across grid-to-chip infrastructure as increasingly powerful processors and accelerators require greater efficiency, power density, and performance.
Rising power consumption in AI data centers and high-performance computing is creating new challenges for power infrastructure. Modern systems require compact, efficient power supplies capable of handling higher loads while reducing conversion losses. GaN and SiC technologies, combined with advanced digital control, can help enable these next-generation power architectures.
Navitas brings its GaN and SiC technologies for efficient high-power conversion, while Wise Integration contributes its WiseWare digital-control technology for wide-bandgap power systems. Together, the companies will evaluate power architectures designed to improve efficiency, power density, and dynamic performance in demanding computing environments.
Wise Integration develops power technologies for applications including AI data centers, edge AI, e-mobility, and industrial systems. The company is headquartered in Hyères, France, with additional design, research, and regional operations across Canada and Asia.
The partnership broadens both companies’ efforts in GaN- and SiC-based power conversion. Its initial focus on AI data-center PSUs reflects the rapidly increasing energy requirements of advanced computing and the need for more efficient power delivery from the electrical grid to processors and accelerators.
