AI Vision Ready for Your Devices

Accelerate your embedded vision deployment with Renesas AI SOM
10x faster time-to-market

Efficient Edge AI Processing​

Powered by DRP-AI3 with up to 15 TOPS (Sparse), ideal for real-time Vision AI applications like object detection and image recognition.

Built-in Security

Integrated TPM 2.0 ensures trusted computing and data protection for industrial and IoT devices.

Compact & Integration-Ready

Small 65mm x 40mm form factor with 4GB RAM, 64GB eMMC, and rich I/O interfaces—perfect for commercial embedded systems.

SOM AI V2H

Ultra-High AI Performance

Built-in DRP-AI3 delivers up to 80 TOPS (Sparse), enabling powerful real-time processing for advanced Vision AI tasks.

Robust Processing Architecture

Equipped with Quad-core Cortex-A55, Cortex-M33, and Mali-G31 GPU with H.264/H.265 codec support for seamless multimedia and AI workloads.

Secure by Design

Integrated TPM 2.0 ensures secure boot and trusted data protection for industrial-grade applications.

Rich Interfaces & OS Support

Compact form factor (65×40mm) with extensive I/O (MIPI CSI, USB 3.0, CAN, etc.) and support for Yocto Linux, Debian, Android (on request).

SOM AI V2N

Power-Efficient Edge AI

Features DRP-AI3 delivering up to 15 TOPS (Sparse), optimized for low-power Vision AI in embedded applications.

Balanced Performance

Built with Quad-core Cortex-A55, Cortex-M33, and Mali-G31 GPU to handle lightweight AI, multimedia, and real-time tasks.

Built-in Security

Integrated TPM 2.0 module provides robust security for connected devices and edge deployments.

Compact & Versatile

Small form factor (65mm x 40mm) with rich I/O (USB 3.0, MIPI CSI/DSI, CAN, etc.) and support for Yocto, Debian, Android (on request).

Vision AI Box​

Compact industrial Edge AI Box powered by 80 TOPS DRP-AI3, ideal for Vision AI, smart factories, and real-time video analysis

Built-in 80 TOPS AI Performance

DRP-AI3 accelerator for fast Vision AI tasks.

Dual NVMe SSD Slots

Supports M.2 SSDs for Mini NVR use.

2x Gigabit Ethernet

Ideal for dual-network industrial setups.

Multiple USB Ports

USB 3.2 & USB-C for peripheral connection.

Compact Design

Small size: 128×80×40mm, easy to deploy.

Wide Application Use

Great for AI dev, CCTV, smart factory, medical.

Open AI SDK

A lightweight, developer-friendly toolkit that provides direct access to our secure AI models, APIs, and hardware integrations. Designed for high performance, easy deployment, and seamless scaling across devices.

Free Version
FREE
Custom TVM Runtime Wrapper
Multi-model loading support
Multi-process services support
Python binding API
C++ wrapper API over unix socket
Docker file intergrates model conversion tool, cross-compiler
Model pruning & benchmark tool
Support optimized YOLOv5 & YOLOX
Example AI applications written in Python & C++ languages
Full Version
Full
CONTACT
✨ PREMIUM FEATURES ✨
Secure AI Model: on-the-fly decryption, unclonable AI Model to others hardware
SHA3 Secure-coprocessor driver & license management library
Supports inference clustering mode via a custom PCIe driver
Includes all features from the Free Version

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FAQ

Frequently Asked Questions

What is the maximum AI performance of OneKiwi V2H SOM?

The V2H SOM delivers up to 80 TOPS (Sparse) using Renesas DRP-AI3, making it ideal for real-time Vision AI and deep learning tasks at the edge.

Which operating systems are supported?

OneKiwi SOMs support Yocto Linux and Debian by default. Android support is available upon request.

Can I integrate OneKiwi into an industrial environment?

Yes, the compact design, wide I/O interfaces (USB 3.0, MIPI, CAN, etc.), and TPM 2.0 security make it ideal for smart factories, medical devices, and AI-driven systems.

Is there storage expansion available in the AI Box?

Absolutely. The OneKiwi Edge AI Box includes dual NVMe M.2 slots (2230 & 2280), allowing SSD installation for use as a Mini NVR or high-speed local storage.

How can I get technical support or documentation?

You can access datasheets and developer resources directly on our website. For technical inquiries or custom integration support, please contact our engineering team via email or support form.

Contact Us

Contact us for any questions​