Overview
Description
The RZ/V2H high-end AI MPU boasts Renesas' proprietary dynamically reconfigurable processor AI accelerator (DRP-AI3), quad Arm® Cortex®-A55 (1.8GHz) Linux processors, and dual Cortex®-R8 (800MHz) real-time processors. Furthermore, the RZ/V2H also includes another dynamically reconfigurable processor (DRP). This processor can accelerate image processing, such as OpenCV, and dynamics calculations required for robotics applications. It also features high-speed interfaces like PCIe®, USB 3.2, and Gigabit Ethernet, making it an ideal microprocessor for applications such as autonomous robots and machine vision in factory automation, where advanced AI processing must be implemented with low power consumption.
Features
- Cortex-A55 (1.8GHz) x 4 cores
- Cortex-R8 (800MHz) x 2 cores
- Cortex-M33 (200MHz) x 1 core
- AI Accelerator DRP-AI3 (8TOPS/dense, 80TOPS/sparse)
- Dynamically reconfigurable processor (DRP)
- Arm® Mali™-C55 ISP (option)
- 6MB on-chip SRAM
- LPDDR4/LPDDR4X memory interface
- Gigabit Ethernet 2ch
- USB 2.0 interface 2ch (On-the-Go (OTG) x 1ch, Host x 1ch)
- USB 3.2 (Gen2) interface 2ch (Host only)
- PCIe® interface (Gen3/4-lane) 1ch
- MIPI® CSI-2® camera interface 4ch
- CAN interface (CAN FD) 6ch
- Package: BGA, 19mm x 19mm 1368-pin 0.5mm pitch
Comparison
Applications
Design & Development
Software & Tools
Boards & Kits
Models
ECAD Models
Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on the CAD Model links in the Product Options table. If a symbol or model isn't available, it can be requested directly from SamacSys.
Support
Support Communities
Partners
e-con Systems
e-CAM22_CURZH is a camera module with MIPI-CSI2 interface prepared for RZ/V2H-EVK. It has a 2M-pixel CMOS image sensor and built-in ISP and can be directly connected to the RZ/V2H-EVK without a conversion board. The necessary software and documentation for using this module are provided by e-con Systems.
Csm Solution Co., Ltd.
The V2H IMX415 Board is an evaluation sensor board prepared for the RZ/V2H-EVK. It has a SONY IMX415 (4K-resolution) CMOS image sensor and can be directly connected to the RZ/V2H-EVK. The necessary software and documentation for using this board are provided by Renesas Electronics under contract with the customer. Please contact our distributor or sales before purchasing this board.
Support Communities
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Something is confused about microSD card preparation for Setup RZ/V2L EVK and Setup RZ/V2H EVK
... eSDbootloader. I see that for RZ/V2L EVK we have details step1 about microSD card formating. But I do not see this step for RZ/V2H EVK. It means that for RZ/V2H EVK, we do not need step of microSD card formating? Is that right? If ...
Jan 10, 2025 -
RZ/V2H kernel compilation with ISP support package
Hi , I am building the SDK/kernel V2H as per the https://renesas-rz.github.io/rzv_ai_sdk/3.00/howto_build_aisdk_v2h.html Downloaded and Applied (patched ) ISP Support package and compiled using command MACHINE=rzv2h-evk-ver1 bitbake core-image ...
Apr 19, 2025 -
Inquiry Regarding Booting RZ/V2H EVK from Macronix SPI-NAND Flash (MX35UF4GE4AD)
... greatly appreciate your help in clarifying the following points: 1. Accessing the Hardware Manual I noticed there is a critical document listed on the Renesas RZ/V2H product page: [NDA Required] RZ/V2H Group User's Manual: Hardware (Additional document) However, after logging into my Renesas account, I ...
Jul 25, 2025
FAQs
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RZ/V2H EVK - How to boot up from eMMC
Last Updated: 12/20/2024 Question: RZ/V2H EVK - How to boot up from eMMC ? Answer: Hardware : RZ/V2H EVK Software : AI SDK ver 5.00 (Release note) Steps to boot up from eMMC : Adjust the DIP switch on the CPU board to SCI download mode ...
Dec 20, 2024 -
RZ/V2H: Usage for AI Training
... for use in training. When beginning from AI training, the tool flow is to input neural networks trained using an AI framework such as a Linux PC or Pytorch into an RZ/V2H tool (AI SDK) in ONNX format. Suitable Products RZ/V2H 日本語 中文
Feb 29, 2024 -
RZ/V2H: Power Consumption
Although it depends a great deal on the application running and functions used, power consumption is a few watts even when AI inference for camera input is executed continuously.
Mar 1, 2024
Videos & Training
This video demonstrates how to run the RZ/V2H AI applications demo on the RZV2H evaluation board kit.
Chapter Titles
00:00 Opening
00:08 Overview
00:56 Download RZ/V2H AI demo image file
01:42 Writing the AI application demo image file on microSD card
03:00 Setup for RZ/V2H EVK
03:33 Launch AI demo
04:05 End of AI demo and RZ/V2H EVK power-off procedure
05:08 Ending
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