Overview
Description
The RZ/V2H AI MPU evaluation kit (RTK0EF0168C04000BJ) is used to evaluate Renesas' RZ/V2H quad-core vision AI MPU. The kit includes a CPU board and an expansion (EXP) board. It supports RZ/V2H standard software packages and enables easy implementation of software development tasks such as low power consumption AI inference and video streaming. Additionally, this evaluation kit supports optional functions like the image signal processor (ISP), 3D graphics engine (GE3D), and Trusted Secure IP.
Features
- Device: RZ/V2H R9A09G057H48GBG
- Arm® Cortex®-A55 x4, Arm Cortex-M33 x1, Arm Cortex-R8 x2
- AI Accelerator DRP-AI3
- Dynamically reconfigurable processor (DRP)
- BGA, 19mm x 19mm, 1368-pin, 0.5mm pitch
- RZ/V2H Secure Evaluation Board (CPU Board):
- PMIC: RAA215300
- Clock generator: 5L35023B
- Main memory: LPDDR4X 8GB × 2
- xSPI Flash memory: 64MB
- External memory: Micro SD × 2
- High-speed interface:
- Gigabit Ethernet × 2 ports
- USB 3.2 Gen2 × 2ch (Host only)
- USB 2.0 × 2ch (On-the-Go (OTG) x 1ch, Host x 1ch)
- PCIe® Gen3 × 1ch (4 lanes max)
- MIPI® CSI-2® × 4ch
- MIPI DSI® × 1ch
- GPIO: 86 pins
- RZ/V2H-EVK Expansion Board (EXP Board):
- HDMI® Tx × 1
- Audio AUX connector × 1ch
- Audio MIC connector × 1ch
- Audio HP connector × 1ch
- Pmod™ × 4
- Box Content:
- RZ/V2H Secure Evaluation Board
- RZ/V2H-EVK Expansion Board
- FFC
- Heat sink with fan
- USB cable (type micro B – type A)
Note: AC adapter is not included. A standard USB Power Delivery adapter and a cable supporting a 100W power supply should be used with the platform.
Applications
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High-Performance Vision AI System
High-performance quad-camera vision AI platform for real-time, power-efficient edge processing.
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Documentation
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| Type | Title | Date |
| Manual - Development Tools | PDF 1.03 MB 日本語 | |
| Tool News - Release | PDF 229 KB 日本語 | |
| Application Note |
PDF
270 KB
Available camera modules with MIPI CSI-2 interfaces support RZ/V series platforms. Modules come from partners, featuring various sensors with pixel resolutions ranging from 1MP to 13MP. Necessary software and documentation are provided by the respective camera module makers, who guarantee module operation. Modules support YUV and RGB raw formats, and some serve as reference designs for ISP evaluation. Users must contact camera makers for operational support.
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| Application Note |
PDF
356 KB
Introduces practical example projects for the RZV2H-EVK kit. The example projects contained within the bundle show how to write code for the various Renesas Flexible Software Package (FSP) modules supported by the RZV2H-EVK kit.
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| PCB Design Files | RZ/V2H CPU Board Design Data
This dataset includes the schematic, BOM list, PCB data, CAD data, and Gerber data for the CPU board of the RZ/V2H Evaluation Board Kit. For the EXP board dataset, please refer to “RZ/V2H EXP Board Design Data.”
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| Application Note |
PDF
666 KB
The RZ/V2H Group and the RZ/V2N Group support two boot modes. Since the power supply circuit configuration differs for each boot mode, this document presents example power supply configurations for each mode.
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| PCB Design Files | RZ/V2H EXP Board Design Data
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7 items
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Design & Development
Software & Tools
Software & Tools
| Software title
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Software type
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Company
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| AI Navigator: IDE for AI Applications The functions required for the development of embedded systems that use artificial intelligence (AI) have been integrated in AI Navigator, shortening the development periods.
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Solution Toolkit | Renesas |
| Cross-Platform High-Speed Inference SDK Cross‑platform, high‑speed edge AI inference SDK used in automotive and industrial systems. The framework enables cross‑platform development by allowing AI models and code developed on personal computers to be deployed directly to target embedded boards, while maximizing hardware resource utilization for fast, efficient inference. The SDK supports development with access to more than 390 pre‑trained models available through a public repository and is complemented by engineering services for model optimization and lightweighting to accelerate inference on embedded architectures.
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AI | ailia Inc. |
| Edge AI Solutions for Automotive Safety & Intelligent Monitoring Provides in‑cabin safety and monitoring solutions using NPU compatible technology to enhance vehicle safety during operation. Supports real‑time vision‑based analytics such as driver monitoring and crowd counting, optimized for Renesas RZ/V2H MPU with the DRP-AI3 accelerator to achieve high accuracy with low-power consumption. NetsPresso® enables hardware‑aware AI optimization and deployment on Renesas RA8D1 and RA8P1 MCUs and RZ/V MPUs, allowing developers to build lightweight and efficient AI applications.
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AI | Nota AI |
| Face Mosaic Application (GitHub) This application is designed to detect mosaic heads in the capture image of a camera and display the result on an HDMI screen.
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Software Package | Renesas |
| License Plate Recognition Local AI–based license plate recognition detects and reads letters, numbers, and characters with 93–96% accuracy and 200–300 ms latency for reliable identification in motion. Uses two TinyML models for detection and character recognition, configurable based on performance needs. Supports Cortex-M4+ and comparable RISC-V/NPU/DSP platforms. Camera-based system outputs plate data to control systems for security applications, with planned support for expanded plate formats and patterns.
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AI | Aizip Inc. |
| Renesas AI Model Deployer for Vision AI The Renesas AI Model Deployer is an intuitive graphical user interface (GUI) tool integrated with NVIDIA’s powerful TAO Toolkit.
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Solution Toolkit | Renesas |
| RUHMI Framework Accelerate AI application development with a comprehensive platform featuring heterogenous compiler with software frameworks.
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Solution Toolkit | Renesas |
| RZ Common System Release Package A generic software package for providing consistent experience across select reference products featuring RZ SoCs to be used in PoCs and product development, thereby streamlining and focusing on end application development while reducing BSP efforts.
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Software Package | Renesas |
| RZ Flexible Software Package (FSP) The RZ FSP is an enhanced software package designed to deliver user-friendly, scalable, high-quality software for embedded system designs using the Renesas RZ family of Arm microprocessors.
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Software Package | Renesas |
| RZ Multi-OS Package A software package for developing multi-OS solutions, consisting of FSP as a software package for Cortex-M or R core MPUs, and OpenAMP as a standardized API for framework for interprocessor communication.
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Software Package | Renesas |
| RZ Smart Power Controller A web‑based smart I/O power controller that simplifies relay management with flexible, intuitive software.
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Software Package | Renesas |
| RZ/V series AI Apps & AI SDK (GitHub) The AI SDK enables easy and rapid development of AI applications using Renesas' RZ/V series evaluation kits. Additionally, it offers a range of AI applications free of charge.
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Software Package | Renesas |
| RZ/V2H AI Software Development Kit RZ/V2H AI Software Development Kit (AI SDK) is an AI application development environment for the RZ/V2H Evaluation Board Kit.
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Software Package | Renesas |
| Vision AI Development & Deployment Platform An end-to-end software and services platform for deploying and scaling computer vision-based Artificial Intelligence of Things (AIoT) solutions, compatible with RZ/V2L, RZ/V2H, and RA8D1 hardware. Covers the full stack from vision system design, embedded software, and AI model development to sensor management, third-party API integrations, and analytics. Supports DRP-AI acceleration for RZ/V platforms and enables rapid development cycles from proof-of-concept to large-scale deployment. Serves smart city, traffic analytics, Industry 4.0, and warehouse monitoring applications.
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AI | Irida Labs |
| YOLO-Planar-SLAM-DRP Combines edge AI and visual SLAM (VSLAM) technology to enable real-time mapping, object recognition, and precise localization in dynamic environments. By identifying and excluding moving objects such as people and vehicles from environmental maps, the solution maintains stable and accurate positioning even in changing conditions. Built on the Renesas RZ/V2H MPU with integrated AI acceleration, it delivers high-performance, power-efficient edge processing for robotics, autonomous mobile systems, drones, smart surveillance, and industrial automation applications.
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AI | Computermind Corp. |
15 items
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Sample Code
Sample Code
Filters
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| Sample Code | RZ/V2H-EVK Example Project Bundle
Demonstrates how to write code using various unified Renesas RZ Flexible Software Package (FSP) v4.x.x modules supported by the RZV2H-EVK. The unified RZ FSP consolidates all previous family‑specific FSPs into a single package and provides an optimized, easy‑to‑use, scalable, high‑quality software solution for embedded system design.
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1 item
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Lab on the Cloud
Lab on the Cloud
Product Options
| Part Number | Status | Stock | Budgetary Price (USD) | Description | Remarks | Security |
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| RTK0EF0168C04000BJ | Active | In Stock | 1u | $474 | RZ/V2H Evaluation Board Kit (Secure Type) version 1.0 | Device: R9A09G057H48GBG | Supported |
Videos & Training
Explore the RZ/V2H evaluation kit and its key hardware components. We walk through what is included in the kit and how the CPU board connects to the expansion board. We demonstrate the main interfaces, including power, UART, Ethernet, camera connectors, and GPIO headers, to help you quickly understand the hardware layout. This overview helps you confirm your setup and prepare for development with the RZ/V2H platform.
Additional Videos
News & Blog Posts
Blog Post Dec 8, 2025 |
Partners
Zephyr Project
The Zephyr Project is an open-source, scalable real-time operating system (RTOS) designed for resource-constrained embedded systems and supports a wide range of hardware architectures and development boards. For the Renesas RZ/V2H Evaluation Kit, Zephyr provides focused documentation covering board features, supported peripherals, and basic build, flashing, and debugging workflows to help developers quickly get started.
Support
Support Communities
- 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 - Cannot enable HDMI on RZ/V2H EVK
... /renesas-rz.github.io/rzv_ai_sdk/3.00/getting_started_v2h.html) and I downloaded the pre-built image for RZ/V2H EVK and I have used bmp-tool to write it on my sd card. sudo bmaptool copy --bmap core-image-weston-rzv2h ...
May 9, 2024 - RZ/V2H EVK Ver 1 SDHI0 Power Cycle
Hi all, Platform: Renesas RZ/V2H EVK Ver.1 Cards: UHS-I (switches to 1.8 V in Linux). Background / symptom After booting Linux, the SD card negotiates 1.8 V. On a soft reset back to U-Boot, the host reverts to 3.3 V while the ...
Sep 22, 2025
Knowledge Base
- RZ Family: Precautions for using the RTC Function with the RZ/V2H EVK
Last Updated: 11/14/2025 The user is trying to use the RTC function with the RZ/V2H EVK.Question When executing command: hwclock --show Following error occurs: select() to /dev/rtc0 to wait for clock tick timed out What is the proper method for ...
Nov 14, 2025 - RZ Family: How to Boot from xSPI on the RZ/V2H EVK
... article explains the steps to set up and boot the RZ/V2H EVK in xSPI mode. Question How to Boot from xSPI on the RZ/V2H EVK? Answer This section explains how to boot from xSPI on RZ/V2H EVK.Following instructions assumes that you have completed ...
Nov 26, 2025 - 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 EVKSoftware : 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
Support Communities
