Product details
reComputer J401 – Carrier Board for Jetson Orin Nano & Orin NX
The reComputer J401 is an advanced NVIDIA Jetson Orin NX carrier board, purpose-built to support both Jetson Orin Nano and Orin NX modules.
Designed as an open-source extension board, this Jetson carrier board breaks out a comprehensive range of I/O interfaces from the SoM, offering seamless high-speed and low-speed connectivity to meet diverse development needs.
With its compact form factor, reliable performance, and developer-friendly architecture, the J401 simplifies the process of building, testing, and scaling embedded systems.
Ideal for prototyping, edge deployments, and long-term product updates, it accelerates time-to-market while providing the flexibility required for robotics, computer vision, and AI-powered edge applications.
For developers looking for a compact yet powerful Jetson Nano carrier board alternative with Orin compatibility, the reComputer J401 offers a future-ready platform for advanced AI development.
Features:
• NVIDIA Elite Partner certified – ensuring reliable quality and compatibility.
• 260-pin Jetson module connector – supports both Jetson Orin NX and Orin Nano modules.
• Open-source hardware – flexible and developer-friendly for customization.
• Compact form factor – measures just 100mm x 80mm for space-saving integration.
• Wide operating temperature range – works reliably from -10°C to 60°C.
• Wireless connectivity – M.2 Key E slot for WiFi and Bluetooth expansion.
• Storage expansion – M.2 Key M slot supports SSD integration.
• High-speed networking – RJ-45 GbE port with 10/100/1000M support.
• Camera and display support – includes 2x CSI camera interfaces and 1x HDMI 2.1.
• Versatile USB options – 1x USB 2.0 Type-C (device mode) + 4x USB 3.2 Type-A (10Gbps).
• Stable power input – DC Jack 12V/5A for dependable operation.
• Optimized for edge applications – ideal for robotics, computer vision, and generative AI projects.
•
The J401 Jetson Nano carrier board design provides flexibility for AI developers, researchers, and embedded system integrators working on next-generation edge applications.
Applications:
• AI Video Analytics
• Machine Vision
• Autonomous Mobile Robot (AMR)
• Generative AI
Hardware Overview:
Applications Gallery – Sample Edge AI Setups
•
AI Video Analytics Rig: Orin NX + J401 + CSI camera + NVMe SSD for real-time video inference and storage.
•
Autonomous Mobile Robot (AMR): Combine wheel motors (via MCU or controller board), sensors, camera feed, and edge-AI inference on Orin for navigation, obstacle detection, and decision-making.
•
Industrial Automation & Monitoring: Use Gigabit Ethernet, CAN port, multiple sensors, and AI inference to monitor machines, detect anomalies or control actuators.
•
Generative AI / Edge ML Server: Use Orin NX with SSD and cooling via J401 to run heavy ML workloads locally ideal for edge-AI deployments without cloud dependency.
•
Computer Vision + Robotics Laboratory Setup: Multiple cameras via dual CSI, USB 3.2 devices, external sensors build a flexible AI-powered research or prototyping station.
The reComputer J401 is an advanced NVIDIA Jetson Orin NX carrier board, purpose-built to support both Jetson Orin Nano and Orin NX modules.
Designed as an open-source extension board, this Jetson carrier board breaks out a comprehensive range of I/O interfaces from the SoM, offering seamless high-speed and low-speed connectivity to meet diverse development needs.
With its compact form factor, reliable performance, and developer-friendly architecture, the J401 simplifies the process of building, testing, and scaling embedded systems.
Ideal for prototyping, edge deployments, and long-term product updates, it accelerates time-to-market while providing the flexibility required for robotics, computer vision, and AI-powered edge applications.
For developers looking for a compact yet powerful Jetson Nano carrier board alternative with Orin compatibility, the reComputer J401 offers a future-ready platform for advanced AI development.
Features:
• NVIDIA Elite Partner certified – ensuring reliable quality and compatibility.
• 260-pin Jetson module connector – supports both Jetson Orin NX and Orin Nano modules.
• Open-source hardware – flexible and developer-friendly for customization.
• Compact form factor – measures just 100mm x 80mm for space-saving integration.
• Wide operating temperature range – works reliably from -10°C to 60°C.
• Wireless connectivity – M.2 Key E slot for WiFi and Bluetooth expansion.
• Storage expansion – M.2 Key M slot supports SSD integration.
• High-speed networking – RJ-45 GbE port with 10/100/1000M support.
• Camera and display support – includes 2x CSI camera interfaces and 1x HDMI 2.1.
• Versatile USB options – 1x USB 2.0 Type-C (device mode) + 4x USB 3.2 Type-A (10Gbps).
• Stable power input – DC Jack 12V/5A for dependable operation.
• Optimized for edge applications – ideal for robotics, computer vision, and generative AI projects.
•
The J401 Jetson Nano carrier board design provides flexibility for AI developers, researchers, and embedded system integrators working on next-generation edge applications.
Applications:
• AI Video Analytics
• Machine Vision
• Autonomous Mobile Robot (AMR)
• Generative AI
Hardware Overview:
Applications Gallery – Sample Edge AI Setups
•
AI Video Analytics Rig: Orin NX + J401 + CSI camera + NVMe SSD for real-time video inference and storage.
•
Autonomous Mobile Robot (AMR): Combine wheel motors (via MCU or controller board), sensors, camera feed, and edge-AI inference on Orin for navigation, obstacle detection, and decision-making.
•
Industrial Automation & Monitoring: Use Gigabit Ethernet, CAN port, multiple sensors, and AI inference to monitor machines, detect anomalies or control actuators.
•
Generative AI / Edge ML Server: Use Orin NX with SSD and cooling via J401 to run heavy ML workloads locally ideal for edge-AI deployments without cloud dependency.
•
Computer Vision + Robotics Laboratory Setup: Multiple cameras via dual CSI, USB 3.2 devices, external sensors build a flexible AI-powered research or prototyping station.
