NVIDIA Jetson Orin Nano/NX SUPER Lightweight Mini AI Development Carrier Board Kit

The NVIDIA Jetson Orin Nano/NX SUPER Lightweight Mini AI Development Carrier Board Kit is a compact, high-performance hardware solution designed by Hiwonder for edge AI and robotics applications. It is ideal for students, educators, and makers building space-constrained platforms like drones and robotic arms. With support for seamless module swapping, full-stack ROS2, and headless booting, this kit streamlines your journey from development to deployment.

Compact design for edge AI

This lightweight carrier board dramatically reduces the hardware footprint, making it ideal for space-constrained platforms like drones and robotic arms. It integrates essential interfaces including CSI, USB 3.0, M.2 Wi-Fi, and a 40-pin GPIO header.

Full-stack ROS2 development

The board fully supports AI vision, large-model embodied AI, and TOF LiDAR interfacing. This comprehensive support covers your entire development loop, from cloud perception to local execution.

Dummy-plug-free headless booting

Optimised boot logic allows for true standalone operation without needing an HDMI dummy plug, decluttering your low-level wiring. The board delivers clean, stable power even under heavy processing loads.

Pre-flashed high-performance SSD

The included 128GB SSD comes pre-flashed with the operating system image to boost system responsiveness. It provides ample storage to effortlessly host complex AI models and massive development logs.

Seamless module swapping

Natively compatible with both NVIDIA Jetson Orin Nano and Orin NX modules, this carrier board allows you to swap cores seamlessly. This flexibility accelerates R&D cycles and reduces hardware iteration costs.

High-definition CSI camera port

A standard HD CSI port supports a wide range of cameras, delivering high-frame-rate and low-latency video feeds. This makes it highly suited for edge AI vision development.

High-speed USB 3.0 connectivity

High-speed USB 3.0 ports allow you to easily connect LiDAR sensors and depth cameras. This ensures rapid, lag-free data exchange across multiple inputs.