Renesas Unveils New 64-Bit RZ/G2L Group of MPUs for Improved AI Processing

Semiconductor solutions provider Renesas Electronics Corporation has expanded its RZ/G2 general-purpose 64-bit microprocessors (MPUs), delivering improved AI processing for a wide range of applications.

January 19, 2021. By Manu Tayal

Semiconductor solutions provider Renesas Electronics Corporation has expanded its RZ/G2 general-purpose 64-bit microprocessors (MPUs), delivering improved AI processing for a wide range of applications.

The expanded product lineup includes 3 new entry-level MPU models built around the latest Arm® Cortex®-A55 core: The RZ/G2L, RZ/G2LC, and RZ/G2UL.

The new RZ/G2L MPUs have been built around the Cortex-A55 CPU core, which delivers approximately 20 percent improved processing performance compared with the previous Cortex-A53 core and provides approximately six times faster in essential processing for AI applications.

Commenting on the development, Hiroto Nitta, Senior Vice President and Head of SoC Business, IoT and Infrastructure Business Unit at Renesas, said that “the use of 64-bit MPUs for processing AI and graphical HMIs have become widespread, increasing the demand for easy to use, high-performance MPUs.” 

“Through the introduction of new entry-level products in RZ/G2, Renesas is accelerating adoption of the Linux OS on high-performance MPUs and can help bring innovation that will deliver better performance and enhanced functionality in HMI devices, while driving down the overall cost,” Nitta added.

In addition, the new MPUs integrate camera input interfaces, a 3D graphics engine, and a video codec, providing cost-efficient support for sophisticated functionality for human-machine interface (HMI) applications, such as multimedia processing, GUI rendering, and AI image processing. The MPUs also feature the Cortex-M33 core, which makes it possible to perform real-time processing for tasks such as sensor data collection without the need for external microcontrollers (MCUs), reducing the overall system cost.

“With AI transforming our daily lives, greater on-device compute capabilities are required to provide real-time insights for billions of IoT endpoints,” said Dipti Vachani, Senior Vice President and General Manager, Automotive and IoT Business at Arm. 

Dipti further said “by incorporating Arm technology in its latest 64-bit MPUs, Renesas is accelerating the adoption of endpoint AI by enabling higher-performance IoT devices capable of processing more intelligence on the device.”

In addition, a Verified Linux Package (VLP) featuring a Civil Infrastructure Platform (CIP) Linux, an industrial-grade Linux offering guaranteed support and security maintenance for more than 10 years, is available. This makes it possible to dramatically reduce future maintenance costs. Additionally, support for security functions means that customers can also confidently adopt the RZ/G2L Group MPUs for industrial applications requiring high reliability and extended service life, making it possible to bring their products to market more quickly.

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