en.Wedoany.com Reported - onsemi is deepening its role in the NVIDIA MGX™ ecosystem, providing advanced power systems for next-generation AI data centers and accelerated computing platforms. Power delivery and energy efficiency have become the most prominent bottlenecks for hyperscale cloud service providers and enterprise operators building AI infrastructure. Industry analysts estimate that future AI rack power demands could exceed 1MW per rack.
The NVIDIA MGX adopts a modular building block architecture, enabling original equipment manufacturers (OEMs) and system integrators to configure, deploy, and scale AI infrastructure faster while reducing development complexity and time-to-market. onsemi provides technologies for each conversion stage of the MGX power tree, with its broad product portfolio supporting the mix-and-match flexibility required by the ecosystem. As global AI infrastructure deployment accelerates, the company's in-house manufacturing capabilities and expertise in silicon, silicon carbide (SiC), and gallium nitride (GaN) also ensure supply chain resilience.
onsemi's technologies are already used in existing MGX systems, covering power field-effect transistors (FETs), multiphase power solutions, SiC JFETs, and GaN, with related opportunities continuing to grow. The collaboration is expected to extend further into emerging 800 VDC power architectures designed for high-density AI environments. Sudhir Gopalswamy, President of the Intelligent Sensing and Analog and Mixed-Signal Group at onsemi, noted that the explosive growth in AI adoption, autonomous AI, and inference complexity is driving exponential increases in AI computing, sharply raising demands for power delivery, cooling, and infrastructure efficiency. High-voltage architectures like 800 VDC are critical for scaling AI infrastructure, pushing power density beyond 1MW per rack while improving efficiency and reducing deployment cost and complexity.
Within the MGX ecosystem, onsemi addresses one of the most pressing bottlenecks: how to deliver more power more efficiently to increasingly dense computing environments. The company provides power solutions directly to NVIDIA and its MGX ecosystem partners, serving power supply units (PSUs), backup battery units (BBUs), and 800 VDC PDB suppliers enabling MGX modularity.
Industry analysts increasingly view power delivery as one of the defining constraints of the AI era. As GPU clusters scale from individual servers to rack-level and data center-level deployments, even minor efficiency improvements can significantly reduce operational costs and energy consumption. As a power semiconductor manufacturer, onsemi supports increasingly complex architectures within the NVIDIA MGX ecosystem through its technical depth.
Power architectures developed for AI factories are also expected to influence future designs in automotive and industrial applications, where efficiency, thermal management, and system reliability are equally critical. Through its collaboration with NVIDIA MGX, onsemi demonstrates how its expertise and power product portfolio underpin the infrastructure layer of the AI economy. In the race to build next-generation AI factories, energy efficiency may prove as important as processing power, and onsemi is positioned to meet these demands from both a technology and internal manufacturing perspective.
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