Overview
Description
The RZ/V2N AI MPU Evaluation Kit V2.0 (RTK0EF0186C03001BJ) is used to evaluate our RZ/V2N quad-core vision AI MPU. The kit includes a CPU board and an Expansion board (EXP board). V2.0 adds support for the DDR Suspend to RAM function, and the power supply circuit configuration has been changed accordingly. We provide an AI Software Development Kit (AI SDK) as the software development environment for this evaluation kit. It allows for the evaluation of low-power AI inference, video streaming, and other built-in features. If you are using an older version of the EVK, please refer to the V1.0 documentation.
Differences from the previous product (V1.0)
- Suspend to RAM function for DDR
- Ver1.0 (RTK0EF0186C03000BJ)：Not available
- Ver2.0 (RTK0EF0186C03001BJ)：Available
Features
- Device: RZ/V2N R9A09G056N44GBG
- Cortex-A55 x4, Cortex-M33 x1
- AI Accelerator DRP-AI3
- BGA, 15mm x 15mm 840-pin 0.5mm pitch
- RZ/V2N Evaluation Board (CPU Board):
- CPU: RZ/V2N
- PMIC: RAA215300
- Clock generator: 5L35023B
- Main memory: LPDDR4X 8GB x1
- eMMC: 64GB
- xSPI Flash memory: 64MB
- External memory: microSD x2
- Board-to-board connector for sub boards
- High-speed interface:
- Gigabit Ethernet x2 ports
- USB 3.2 Gen2 x1ch (Host only)
- USB 2.0 x1ch (OTG)
- PCIe® Gen3 x1ch (2 lanes max)
- MIPI® CSI-2® x2ch
- MIPI DSI® x 1ch
- GPIO: 86 pins
- RZ/V2H-EVK Expansion Board (EXP Board): *Shared with RZ/V2H
- HDMI® Tx x1ch
- Audio auxiliary input connector x1ch
- Audio microphone input connector x1ch
- Audio headphone output connector x1ch
- Pmod™ x4
- RZBox Contents:
- RZ/V2N Evaluation Board
- RZ/V2H EVK Expansion Board
- Flexible cable for MIPI DSI
- Heat sink
- USB cable (Micro B - Type A)
- Rubber feet (set of 4)
- Notes
- AC adapter is not included. A standard USB Power Delivery adapter and cable supporting 60W power supply should be used with the platform.
Applications
Design & Development
Videos & Training
Explore the evaluation environment for the RZ/V2N microprocessor, featuring advanced vision AI processing with dual cameras. Practical demonstrations introduce key use cases such as driver monitoring, dash cams, robotics, and home security. The content highlights how the RZ/V2N enables efficient AI inference and real‑time video processing, making it a strong fit for developers considering AI‑enabled camera applications.
Additional Videos
Support
Support Communities
Knowledge Base
