Waveshare Jetson Orin Nano/NX Super Dual Ethernet Base Board
The Waveshare Jetson Orin Nano/NX Super Dual Ethernet Base Board is a high-performance development platform for NVIDIA’s Orin Nano and Orin NX modules, featuring dual Ethernet, multiple USB ports, CSI camera interfaces, and M.2 expansion slots for AI, robotics, and edge computing applications.
Features
- Compatible with NVIDIA Jetson Orin Nano and Orin NX modules via a 260-pin DO-DIMM socket for scalable AI processing.
- Features dual Ethernet ports (2.5G & Gigabit) and 7 USB interfaces (4x Type-A, 1x Type-C, 2x USB2.0 FFC) for high-speed data transfer and peripheral connectivity.
- Equipped with two CSI camera connectors and a 4K DisplayPort output for advanced computer vision and high-definition display projects.
- Includes M.2 Key M slot for NVMe SSD storage and M.2 Key E slot for wireless NICs, plus a color-coded 40-pin GPIO header for flexible hardware expansion.
- Supports wide-range DC power input (9V-19V) with onboard power management and includes a 4-pin PWM fan header for active thermal control.
Out of stock
The Waveshare Jetson Orin Nano/NX Super Dual Ethernet Base Board serves as a robust carrier platform for NVIDIA’s powerful Jetson Orin series system-on-modules. It is engineered to unlock the full potential of the Orin Nano and Orin NX for demanding AI inference, robotics, and edge computing workloads. The board provides a comprehensive suite of high-speed interfaces and expansion capabilities required for professional development and deployment.
Its architecture supports dual Ethernet connectivity for network redundancy or segregated data streams, while the abundance of USB ports facilitates connection to sensors, storage, and human interface devices. The dedicated CSI interfaces and DisplayPort output are tailored for vision-based AI applications, from object detection to autonomous navigation. With integrated M.2 slots and GPIO, the board offers a scalable foundation for adding high-performance storage, wireless communication, and custom peripheral boards, making it an ideal choice for researchers, developers, and system integrators building next-generation intelligent systems.
Additional Information
| Weight | 0.093 kg |
|---|---|
| Dimensions | 10.3 × 9.05 cm |














