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- High AI Computing Power: Supports Jetson Orin Nano/NX for fast AI tasks like object detection and data processing.
- Rich Connectivity Options: Includes HDMI 2.1, USB 3.2, Ethernet, and M.2 slots for easy connection to devices.
- Open-source Flexibility: Fully open-source design for easy customization and fast prototyping of projects.
- Compact, Robust Industrial Design: Small size and durable build ensure stable performance in tough industrial settings.
- Expandable Storage and AI Support: M.2 slots let you add extra storage or AI modules to boost system capability.
- Ideal for Automation & Edge AI: Great for robotics, automated monitoring, video analytics, and edge computing use.
reComputer J401 - Open-source Carrier Board for NVIDIA Jetson Orin Nano/Orin NX - Seeed Studio
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
Application
- AI Video Analytics
- Machine Vision
- Autonomous Mobile Robot (AMR)
- Generative AI
Shipping & Returns
Shipping & Returns
- All orders confirmed before 3 pm IST are shipped on the
same day, barring rare pickup delays on holidays or disturbances - Delivery time in Metro cities is 1-3 days, Others it is
3-7 days. It varies based on location, reliant on courier services - Return window: 7 days from receipt unless stated
otherwise. No refunds/replacements after - Returns only for non-working/damaged products are accepted
- Initiate return requests to our customer service team via Support ticket or contact us at +91-8123057137
- Refunds are processed within 3-4 working days post inspection and approval.
For more details, please check our Shipping and Return Policy
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Package Includes
1x reComputer J401 Carrier Board
1x 12V/5A Power Adapter
Specifications
Storage | 1x M.2 Key M (Supports 2280 NVMe SSD) |
Networking | 1x RJ-45 Gigabit Ethernet (10/100/1000M) |
M.2 Key E | 1x M.2 Key E for WiFi/Bluetooth module |
USB Ports | 4x USB 3.2 Type-A (10Gbps), 1x USB 2.0 Type-C (Device Mode) |
Camera | 2x CSI (2-lane 15pin) |
Display | 1x HDMI 2.1 |
Fan | 1x 4-pin Fan Connector (5V PWM) |
CAN | 1x CAN |
Multifunctional Port |
1x 40-Pin Expansion header 1x 12-Pin Control and UART header |
RTC | 1x RTC 2-pin, supports CR1220 (not included) |
Power | 9-19V DC input |
Dimensions (W x D) | 100mm x 80mm |
Installation | Desk or wall-mounting |
Operating Temperature | -10℃ ~ 60℃ |
For the price, the reComputer J401 offers exceptional hardware quality and features suitable for embedded AI applications highly recommended for professionals needing reliability.
After extended use, the carrier board has been reliable without any crashes. It supports demanding tasks well and has proved to be a solid part of my development setup.
Overall, Im pleased with the product and the shopping experience. The seller was communicative, and the product performance exceeded my expectations from day one.
The carrier board works smoothly as advertised. The build quality is excellent with no faults. It integrates seamlessly with my Jetson Orin Nano, and performance meets all my expectations.
The board functions flawlessly under high workloads. I tested intensive AI applications, and all ran smoothly without overheating, proving its robust engineering.