Description
reComputer J401 – Open-Source Carrier Board for NVIDIA Jetson Orin Nano/NX
The reComputer J401 is a high-performance open-source carrier board designed for NVIDIA Jetson Orin Nano and Orin NX modules.
It provides a reliable and efficient platform to build advanced AI applications such as robotics, industrial automation, and edge computing.
With versatile I/O interfaces and robust connectivity, the J401 helps developers bring AI projects to life faster.
Features
Powerful AI and Processing Performance
Powered by Jetson Orin Nano or Orin NX, the reComputer J401 delivers strong computing power for AI workloads. It is perfect for real-time data processing, machine vision, and smart automation tasks.
Flexible Connectivity Options
Includes HDMI 2.1, Gigabit Ethernet, multiple USB 3.2 ports, and M.2 slots for SSD storage or wireless modules, making it easy to connect cameras, sensors, displays, and networks.
Expandable & Developer-Friendly Design
Supports M.2 expansion and features an open-source design, offering flexibility for custom projects. Its compact size and durable build make it ideal for industrial use or rapid prototyping of intelligent devices.
Hardware Overview
Jetson Module Compatibility Table
| Jetson Module | Compatible with J401? | Best Use Case | Notes |
|---|---|---|---|
| Jetson Nano | ❌ No | — | Not supported |
| Jetson Xavier NX | ✔ Yes | Robotics, CV projects | Works with 260-pin SO-DIMM form factor |
| Jetson Orin Nano | ✔ Yes | Edge AI apps, high TOPS workloads | Ideal performance at low power |
| Jetson Orin NX | ✔ Yes | Advanced vision, automation | Highest performance option |
| Jetson AGX Orin | ❌ No | — | Not supported on this carrier board |
Build your own Edge AI Rig
- The reComputer J401 is a solid carrier board that helps you build a custom Edge AI system powered by an NVIDIA Jetson Orin Nano or Orin NX module.
- It offers a wide range of I/O interfaces including HDMI 2.1 output, Gigabit Ethernet, multiple USB 3.2 ports, M.2 slots for SSD or wireless modules, and dual CSI camera connectors for cameras and sensors.
- The compact size of 100 mm × 80 mm makes it easy to fit into embedded or industrial setups while still giving you strong connectivity options.
- The open source hardware design lets you customise and prototype your own AI solutions with its accessories and power extensions, whether you’re building a computer vision device, a robotics controller, or a real-time inference unit.
- You can scale your setup using M.2 NVMe SSDs for storage expansion and additional modules for wireless or networking to turn your build into a full edge compute system.
Application
- AI Video Analytics
- Machine Vision
- Autonomous Mobile Robot (AMR)
- Generative AI
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