Specifications
Product Family
Renesas RZ/V2H Evaluation Kit, part number RTK0EF0168C04000BJ
Kit Contents
One CPU board plus one expansion (EXP) board
Application Cores
Quad Arm Cortex-A55 Linux processors at 1.8 GHz
Real-Time Cores
Dual Arm Cortex-R8 at 800 MHz plus one Arm Cortex-M33
AI Accelerator
DRP-AI3 dynamically reconfigurable processor for AI inference
Image Preprocessing
Second DRP accelerator for OpenCV image processing and robotics dynamics
3D GPU
Arm Mali-G31 (optional on the platform)
DRAM Interface
LPDDR4-3200 / LPDDR4X-3200, 32-bit bus
PCI Express
PCIe Gen3.0, 4 lanes, one channel
USB
USB 3.2 SuperSpeed host channels plus USB 2.0 host/device
Ethernet
Two 10M/100M/1G Ethernet channels
Camera Interfaces
MIPI camera connectors supported on the CPU board
CAN
Six CAN-FD channels
Storage Interfaces
Three SDHI (SD host) channels
Optional Functions
Image signal processor, 3D graphics engine (GE3D) and Trusted Secure IP
Power
USB Power Delivery; a 100 W-capable PD adapter and cable are required (not included)
Software
Renesas AI SDK (version 3.00 and later) with BSP build and SD-card boot flows
Model Tooling
AI Model Deployer GUI integrated with NVIDIA TAO Toolkit for object detection and classification
Boot Modes
SD card, xSPI and eMMC boot supported
Thermal Zones
Two monitored zones: MCU coprocessor plus DRP-AI MAC, and Cortex-A55 cluster plus GPU
Debug and Expansion
UART, Ethernet, camera and GPIO headers exposed on the EXP board
Overview
The RZ/V2H-EVK is Renesas' evaluation kit for the RZ/V2H, a vision-oriented MPU built around four Arm Cortex-A55 Linux cores at 1.8 GHz, dual Cortex-R8 real-time cores at 800 MHz and a Cortex-M33, together with the company's DRP-AI3 dynamically reconfigurable AI accelerator. A second DRP block handles image processing such as OpenCV routines and the dynamics calculations used in robotics, so general-purpose CPU load stays low.
The kit ships as a CPU board plus an expansion board and exposes power, UART, Ethernet, camera connectors and GPIO headers. It provides LPDDR4/LPDDR4X 3200 memory at 32-bit width, PCIe Gen3 with four lanes, USB 3.2 SuperSpeed, six CAN-FD channels and three SD host interfaces. Optional functions include an image signal processor, the GE3D 3D graphics engine and Trusted Secure IP. Power is delivered over USB Power Delivery, and a 100 W-capable adapter and cable are required but not included.
On the software side the kit runs Renesas' AI SDK, with documented BSP build, SD-card boot, xSPI boot and eMMC boot flows. The AI Model Deployer GUI integrates with NVIDIA's TAO Toolkit so object-detection and classification models can be trained and then translated for the DRP-AI3 hardware, which requires INT8 quantization. Typical deployments include autonomous robots, gesture-controlled manipulation and factory machine vision. QS Compute supplies the RZ/V2H-EVK and companion camera modules.
Key Benefits
Purpose-built AI accelerator: the DRP-AI3 block plus a second DRP for image processing and robotics math keeps CPU headroom high. Rich real-time and industrial I/O: dual Cortex-R8, six CAN-FD channels, PCIe Gen3 x4 and USB 3.2 on one kit. Complete AI toolchain: AI SDK, model deployer and NVIDIA TAO Toolkit integration with a documented INT8 path. Camera and vision focused: MIPI camera connectors and ISP option tuned for vision applications.
Applications
Autonomous mobile robots and robotics vision, factory automation machine vision, people-counting and occupancy analytics, access control and visitor monitoring, agricultural monitoring, and other edge deployments requiring low-power real-time AI inference with video streaming.
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