Infineon will bring its power management expertise to NVIDIA’s MGX AI Factory ecosystem, supporting 800VDC architectures designed to improve efficiency and enable higher-density AI computing.
Infineon Technologies has joined NVIDIA’s MGX AI Factory ecosystem, marking a new collaboration aimed at improving power delivery for the next generation of AI data centers.
The German semiconductor company will contribute its power management technologies to support NVIDIA’s MGX platform and emerging 800VDC power architecture. Designed as an open and modular framework for AI infrastructure, the architecture is intended to help data centers handle increasing computing demands while improving energy efficiency.
Adam White, President of Infineon’s Power & Sensor Systems division, said the partnership focuses on rethinking power delivery from the electrical grid to the processor level. As AI models become larger and more complex, data centers face growing pressure to deliver higher performance within existing limits on space, power consumption and cooling capacity.
Infineon brings expertise across multiple semiconductor technologies, including silicon (Si), silicon carbide (SiC) and gallium nitride (GaN). The company says these technologies can help accelerate the adoption of 800VDC-based infrastructure by enabling more efficient power conversion and distribution throughout AI facilities.
Under the collaboration, Infineon’s solutions will support power conversion from 800VDC to the lower voltages required by servers and processors. By reducing the number of power conversion stages and moving power distribution closer to computing racks, the approach aims to improve efficiency and simplify data center design.
NVIDIA’s MGX-compatible 800VDC power racks are designed to provide a migration path for existing AI infrastructure. The systems allow operators to increase compute density and performance while preserving current investments, helping data centers prepare for future AI workloads without requiring a complete infrastructure overhaul.
The partnership highlights growing industry efforts to address the rising power demands of AI-driven computing environments.
