reComputer Classic Jetson™

The reComputer Classic Jetson™ series is a powerful and compact edge AI device family based on the NVIDIA® Jetson™ Orin™ platform. This series is compatible with Jetson Orin Nano and Orin NX modules, providing AI performance options from 20 TOPS to 100 TOPS, with rich interfaces including USB 3.2, HDMI, Ethernet, M.2 Key E for Wi-Fi modules, M.2 Key M for SSD, mini-PCIe for LTE modules, CAN, 40-pin GPIO and more.

Build the Most Powerful Embedded AI Platform

Compatible with Jetson Orin series modules, providing 20-100 TOPS AI performance across different models to meet various edge AI application requirements from entry-level to high-performance.

Design for Both Development and Production

Equipped with a rich set of I/O interfaces: multiple USB3.2 ports, HDMI display output, Gigabit Ethernet, M.2 Key M storage expansion, M.2 Key E wireless module support, mini-PCIe LTE module support, 40-pin GPIO expansion interface and more.
Support multiple wired and wireless communication methods, including Wi-Fi and LTE expansion.

Immediately Go-to-Market

Pre-installed with JetPack system, Linux OS BSP ready, significantly reducing development cycles.
Certified with ROHS, CE, FCC, KC, UKCA, REACH and other standards.

Long-term Supply Guarantee

Production lifecycle: until at least 2032, providing stable supply assurance for long-term projects.

The reComputer Classic Jetson™ series adopts a modular design, supporting desktop deployment, wall mounting and other installation methods, flexibly adapting to various deployment environments.

Smart Lamppost

Smart lampposts monitor traffic with sensors and transmit data for better traffic control. They integrate solar power, store energy for night use, and may feed excess power to the grid.

EV Battery Swapping/Charging System

Battery swapping eases EV range anxiety. Charging stations, connected to the smart grid, optimize charging times. Some EVs can also supply power to the grid.

Smart Recycling Center

Sensors in recycling bins reduce waste collection trips. Energy-efficient equipment runs during off-peak hours, and recycled materials are used for smart grid and EV components.

Other Application Areas

• AI Video Analytics
• Machine Vision
• Robotics
• Generative AI and Computer Vision Model Deployment