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Navitas Semiconductor Unveils Advanced Power Devices for NVIDIA’s AI Architecture

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Navitas Semiconductor Nvidia Ai Factory

TORRANCE, Calif., Oct. 13, 2025 (GLOBE NEWSWIRE) — Navitas Semiconductor (NASDAQ: NVTS) has announced the launch of new gallium nitride (GaN) and silicon carbide (SiC) power devices, designed to support NVIDIA‘s 800 VDC AI factory architecture. This significant development aims to enhance efficiency and performance in next-generation artificial intelligence computing platforms.

The new product line includes 100 V GaN field-effect transistors (FETs) optimized for GPU board DC-DC stages, as well as a 650 V GaN portfolio featuring GaNSafe power ICs and a high-voltage GeneSiC SiC MOSFET lineup. These components are crucial for the power conversion needs in advanced data centers developed for high-performance AI and high-complexity applications.

According to Navitas, the 100 V GaN FETs are built on a 200 mm GaN-on-Si process in partnership with Power Chip, which allows for scalable and efficient production. The GaNSafe technology includes protection features like short-circuit response times as low as 350 nanoseconds and 2 kV electrostatic discharge (ESD) resilience.

“As NVIDIA drives transformation in AI infrastructure, we’re proud to support this shift with advanced GaN and SiC power solutions that enable the efficiency, scalability, and reliability required by next-generation data centers,” said Chris Allexandre, president and CEO of Navitas. The introduction of these devices closely aligns with NVIDIA’s vision for enhancing the capabilities of AI factories, which demand unprecedented levels of power efficiency and density.

The 800 VDC power distribution system provides direct conversion from high-voltage AC utility power to 800 VDC within data centers, allowing for a more streamlined power delivery process. This architecture is designed to face the challenges posed by AI computing, where legacy systems fall short. By eliminating multiple conversion stages, Navitas aims to maximize energy efficiency and reduce losses.

Samples, datasheets, and evaluation boards of the new products are available for qualified customers. This announcement has already generated interest in the investment community, with analysts closely monitoring how these innovations will perform in real-world applications as AI demands grow.