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Infineon Joins NVIDIA's MGX™ AI Factory Ecosystem to Transform Power Delivery Architecture for Next-Generation AI Server Racks

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Infineon (OTCQX: IFNNY) has joined the NVIDIA MGX AI Factory ecosystem to advance power delivery for next-generation AI data centers. Infineon will support NVIDIA's 800 VDC MGX-compatible power racks with power management solutions spanning grid-to-core conversion, using Si, SiC and GaN technologies for efficient, higher-density AI deployments.

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MUNICH, May 28, 2026 /PRNewswire/ --  Infineon Technologies (FSE: IFX) (OTCQX: IFNNY), a leading provider of power systems and IoT, has joined NVIDIA's MGX AI Factory ecosystem to help transform power delivery for next-generation AI data centers. Infineon's power management solutions will support NVIDIA's MGX™ architecture and 800 VDC power architecture, an open, modular reference architecture designed for AI factories in the agentic AI era. 800 VDC MGX™-compatible power racks help existing AI infrastructure scale AI compute performance and power density, creating an upgrade path for future AI infrastructure.

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"As a member of NVIDIA's ecosystem, Infineon is working with NVIDIA to redefine power delivery systems from the grid to the processor core, which is required for this next phase of AI innovation," says Adam White, Division President Power & Sensor Systems at Infineon. "As AI models continue to grow in size and complexity, data centers must deliver dramatically more compute performance within the same physical, power, and cooling constraints. Combined with NVIDIA's modular MGX architecture, Infineon's power solutions significantly enhance energy-efficient power distribution across the entire data center power flow. We look forward to continuing our work with NVIDIA to bring more MGX-powered innovations to market."

Infineon's deep expertise in power conversion —from grid to core— leverages all relevant semiconductor materials, including silicon (Si), silicon carbide (SiC), and gallium nitride (GaN). This comprehensive approach helps accelerate the transition toward full-scale 800 VDC architectures. Using Infineon's GaN technology at switching frequencies close to 1 MHz enables ultra-compact bus converters at an industry-leading efficiency while the combination of Infineon's proprietary SiC JFET technology and dedicated control ICs are the perfect match for protection and hot-swap functionality of native 800 V server boards. Infineon's power management solutions convert power from 800 V to 50 V, 12 V or even down to 6 V.

As part of the NVIDIA MGX AI Factory ecosystem, Infineon supports the complete 800 VDC power conversion flow down to an intermediate bus voltage and core voltage in systems based on NVIDIA MGX, helping to reduce conversion stages and deliver DC power closer to the rack. This improves power efficiency, simplifies infrastructure, and supports higher-density AI deployments.

About NVIDIA 800 VDC

NVIDIA's 800 VDC MGX-compatible power racks help existing AI infrastructure increase compute performance and power density without waiting for full-scale 800V DC AI factories. They provide an upgrade path for higher-density accelerated computing, enabling hybrid power architectures that protect current infrastructure investments while preparing AI factories for future workloads.

About Infineon

Infineon Technologies AG is a global semiconductor leader in power systems and IoT. Infineon drives decarbonization and digitalization with its products and solutions. The Company has around 57,000 employees worldwide (end of September 2025) and generated revenue of about €14.7 billion in the 2025 fiscal year (ending 30 September). Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the OTCQX International over-the-counter market (ticker symbol: IFNNY).

Further information is available at www.infineon.com

This press release is available online at www.infineon.com/press

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Press contact
Andre Tauber
andre.tauber@infineon.com
+49 89 234 36705

Cision View original content:https://www.prnewswire.com/news-releases/infineon-joins-nvidias-mgx-ai-factory-ecosystem-to-transform-power-delivery-architecture-for-next-generation-ai-server-racks-302785037.html

SOURCE Infineon Technologies AG

FAQ

What did Infineon (IFNNY) announce about joining the NVIDIA MGX AI Factory ecosystem in May 2026?

Infineon announced it joined the NVIDIA MGX AI Factory ecosystem to support next-generation AI data centers. According to Infineon, its power management solutions will back NVIDIA’s modular 800 VDC MGX architecture for scalable, high-density AI compute infrastructure.

How does Infineon’s 800 VDC power conversion support NVIDIA MGX-based AI server racks?

Infineon provides power solutions that convert 800 VDC down to 50 V, 12 V, and 6 V for MGX-based systems. According to Infineon, this supports complete 800 VDC power flow, reduces conversion stages, and brings DC power closer to the rack.

What semiconductor technologies is Infineon using in its NVIDIA MGX AI Factory ecosystem solutions?

Infineon uses silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) across its grid-to-core power portfolio. According to Infineon, GaN at ~1 MHz enables ultra-compact, efficient bus converters, while proprietary SiC JFET and control ICs support protection and hot-swap functions for 800 V server boards.

How could Infineon’s participation in the NVIDIA MGX ecosystem affect AI data center efficiency?

Infineon’s solutions aim to enhance energy-efficient power distribution in NVIDIA MGX-based data centers. According to Infineon, reducing power conversion stages and delivering DC power closer to the rack can improve overall power efficiency and support higher-density AI deployments within existing constraints.

What is the role of Infineon’s GaN and SiC technologies in next-generation AI server power delivery?

Infineon’s GaN enables high-frequency, ultra-compact bus converters with strong efficiency for AI power systems. According to Infineon, its SiC JFET technology with dedicated control ICs is designed for protection and hot-swap functionality on native 800 V AI server boards.