Renesas Unveils New General-Purpose 64-Bit RZ/G2L Group of MPUs
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 three new entry-level MPU models built around the latest Arm Cortex-A55 core: The RZ/G2L, RZ/G2LC, and RZ/G2UL. Together with the existing mid-to-high-end RZ/G2E, RZ/G2N, RZ/G2M, and RZ/G2H MPUs, a total of seven RZ/G2 MPUs provide scalability from entry-level to high-end design.
“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,” said Hiroto Nitta, Senior Vice President and Head of SoC Business, IoT and Infrastructure Business Unit at Renesas. “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.”
“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. “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.”
The new RZ/G2L MPUs are 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.
Also, 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 interfaces (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.
