The Renesas RZ Family of high-end 32-bit and 64-bit Arm®-based microprocessors (MPUs) enables the solutions required for the smart societies of the future. Through a variety of Arm Cortex®-A7, A9, A15, A53, A57, and R4-based devices, engineers can easily implement high-resolution human machine interfaces (HMI), embedded vision, embedded artificial intelligence (e-AI), and real-time control and industrial ethernet connectivity.
Featured RZ MPUs
|RZ/G2L||General-purpose Microprocessors with Dual-core Arm® Cortex®-A55 (1.2 GHz) CPUs, with 3D Graphics and Video CODEC Engine|
|RZ/V2M||AI-only Accelerator (DRP-AI), 4K-compatible Image Signal Processor (ISP), Vision-AI ASSP for Real-time Human and Object Recognition|
|RZ/A2M||High-Speed Embedded AI-Based Image Processing Microprocessors with Dynamically Reconfigurable Processor (DRP) Technology|
|RZ/T1||Microprocessors for Real-Time Control and Networking of Industrial Equipment by only one chip|
|RZ/N1D||Microprocessors Featuring 5 Ethernet Ports and Latest Redundancy Protocol for Industrial Network Master Devices|
Features of Each RZ Series
RZ MPUs for Artificial Intelligence
- High speed edge AI inference and low power consumption by DRP-AI
- Reduce environmental impact for AI with camera ISP
- Supports the same level of capabilities as RZ/G
RZ MPUs for Human Machine Interface
The RZ/A MPUs combine a 32-bit Arm Cortex-A9 CPU with up to 10MB of on-chip SRAM and the ability to execute code in-place (XIP) from QSPI flash.
RZ/G Series MPUs extend the capabilities of RZ/A MPUs to deliver high-end performance for graphics, multi-stream video and embedded vision.
RZ MPUs for Real-Time Control & Industrial Network
- High-performance, high-speed real-time control
- Renesas R-IN engine (“R-IN engine”) for multi-protocol Industrial Ethernet
- Configurable encoder I/F for various protocol encoders
- Scalable architecture for master/slave products
- R-IN engine for multi-protocol Industrial Ethernet and redundant network
- Space and cost-efficient design by integrated large size memory