The RZ/V series are microprocessors (MPUs) with a Dynamically Reconfigurable Processor (DRP)-AI, Renesas' original AI accelerator that achieves both high AI inference performance and low power consumption. The RZ/V2M has a high-performance image signal processor (ISP) that supports 4K/30fps, and the RZ/V2L has a 3D graphics engine and versatile peripheral functions for a wide range of applications.

White Paper: Embedded AI-Accelerator DRP-AI (PDF | English, 日本語)

AI Accelerator: DRP-AI

DRP-AI is Renesas' dedicated hardware that provides high performance and low power consumption, and the ability to respond to evolution.

Partner Solutions

Partner products and services that support the RZ/V series can speed up your design and get to market faster.

Target Applications

  • IP camera
  • Surveillance camera
  • Retail
  • Logistics
  • Image inspection

Products

RZ/V2M  Mid-range product for camera applications with high-performance ISP in addition to DRP-AI 
RZ/V2L  Entry-level product group equipped with the same DRP-AI as RZ/V2M

Specification Summary

  RZ/V2M RZ/V2L
Main CPU Arm® Cortex®-A53 (1.0GHz) Dual Arm Cortex-A55 (1.2GHz) Dual/Single
Sub CPU --- Arm Cortex-M33 (200MHz) Single
DRAM-I/F LPDDR4-3200 32-bit DDR3L/DDR4-1600 16-bit (In-line ECC)
ISP 4K/30fps, HDR/3DNR, etc. --- (*1)
Video CODEC H.264/265 Enc/Dec (4K/30fps) H.264 Enc/Dec (2K/30fps)
Graphics Engine 2D GPU Arm Mali-G31 3D GPU
Camera-I/F 2x MIPI-CSI2 (4-lane) 1x MIPI-CSI2 (4-lane), 1x Parallel
Display-I/F 1x MIPI-DSI2 (4-lane), 1x HDMI 1x MIPI-DSI2 (4-lane), 1x Parallel
Peripherals 1x USB3.1, 1x GbEther, 1x PCIe Gen2 2x USB2.0, 2x GbEther, 2x CAN-FD
Package 841-pin FCBGA (15x15mm, 0.5mm pitch) 456-pin LFBGA (15x15mm, 0.5mm pitch)
551-pin LFBGA (21x21mm, 0.8mm pitch)

(*1) Simple ISP function provided as DRP library

AI Development Tool Flow

  • Open frameworks can be used for learning
  • Converts from industry standard ONNX Format to executable with DRP-AI Translator
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RZ/V Series AI Development Tool Flow

Use Case

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RZ/V Series Use Case

descriptionDocumentation

Title language Type Format File Size Date
Application Notes & White Papers
Embedded AI-Accelerator DRP-AI 日本語 White Paper PDF 642 KB

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