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Home › MarketWatch › Renesas launches RZ/G3E MPU for AI-powered edge computing in industrial HMI systems
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Renesas launches RZ/G3E MPU for AI-powered edge computing in industrial HMI systems

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August 8, 2025

August 8, 2025 /SemiMedia/ — Renesas Electronics has introduced the RZ/G3E, a 64-bit microprocessor built for high-performance HMI (Human Machine Interface) applications, delivering AI inference capabilities and robust edge computing for industrial and consumer embedded systems.

The RZ/G3E integrates a quad-core Arm Cortex-A55 processor, a Cortex-M33 core, and an Ethos-U55 NPU to accelerate local AI workloads such as image classification, voice recognition and anomaly detection. It supports dual Full HD output at 60fps via LVDS, MIPI-DSI, and parallel RGB, with a MIPI-CSI interface for video input—catering to modern HMI display and sensing demands.

Designed for connectivity-heavy environments, the MPU includes PCI Express 3.0, USB 3.2 Gen2, and dual Gigabit Ethernet interfaces, allowing seamless integration with 5G modules, cloud platforms, and local storage systems.

To reduce power usage in standby mode, the RZ/G3E offers advanced power management features with sub-CPU operation. It consumes as little as 50mW in standby and around 1mW in deep sleep, supporting fast Linux resume from DDR self-refresh mode.

Renesas supports the RZ/G3E with its Verified Linux Package (VLP) based on the Civil Infrastructure Platform, ensuring over 10 years of long-term maintenance. Developers can also choose Linux BSP Plus with LTS kernel and Yocto support, or deploy popular OS options such as Ubuntu and Debian.

The RZ/G3E is now in mass production and available with an evaluation kit that includes a SMARC v2.1.1 module and a carrier board. In addition, several system-on-module solutions are being released by partners including Tria, ARIES Embedded, and MXT.

Renesas has also integrated the RZ/G3E into multiple “Winning Combinations,” including dual-display HMI and digital otoscope reference designs. These pre-validated system configurations help accelerate time-to-market with optimized, low-risk development paths.

More details can be found at: https://www.renesas.com/rzg3e

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AI embedded processor Edge AI MPU electronic components news Electronic components supplier Electronic parts supplier Human machine interface Industrial automation chips Low power MPU Renesas RZ series
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