The Jetson Carrier Board for NVIDIA Jetson Nano and Xavier NX is designed to extend the capabilities of edge AI computing platforms by providing robust connectivity, expansion, and reliable power management. This carrier board supports seamless integration with NVIDIA Jetson Nano and Jetson Xavier NX modules, enabling developers, engineers, and researchers to build advanced AI applications such as computer vision, robotics, smart surveillance, and industrial automation. With optimised layout and high-speed interfaces, it ensures stable performance for real-time data processing and AI inference at the edge.
Engineered for flexibility and scalability, this carrier board includes multiple I/O interfaces such as USB, HDMI, CSI camera connectors, Ethernet, and GPIO headers, allowing easy integration with sensors, cameras, and peripherals. Its compact and durable design makes it suitable for embedded deployments, prototyping, and production-level solutions. Whether used in IoT gateways, AI-powered devices, or robotics platforms, this board enhances development efficiency and expands the functionality of Jetson-based systems.
Key Features
- Wide Module Compatibility: Supports NVIDIA Jetson Nano and Jetson Xavier NX modules
- Rich I/O Interfaces: Includes USB, HDMI, Ethernet, CSI camera ports, and GPIO
- Edge AI Ready: Optimised for AI inference, computer vision, and deep learning applications
- High-Speed Connectivity: Enables fast data transfer for real-time processing
- Flexible Expansion: Easy integration with sensors, cameras, and external modules
- Compact Form Factor: Suitable for embedded and space-constrained designs
- Stable Power Design: Reliable operation for continuous workloads
- Developer Friendly: Ideal for prototyping, testing, and production deployments
Figure: Board Overview of Jetson Carrier Board
High-Performance Computing at an Accessible Entry Point
The Jetson carrier board lowers the entrance hurdle for powerful artificial intelligence by being highly compatible with the NVIDIA Jetson series. By supporting modules such as the Jetson Xavier NX, the hardware enables server-class AI computation capability on the edge. This adaptability enables the development platform to scale with user needs, supporting everything from lightweight data processing to heavy-duty neural network inference, all while being affordable to educational institutions and individual DIY hobbyists.
Extensive Interface Expansion for Robotic Ecosystems
To accommodate a wide range of hardware combinations, the expansion unit includes a complete set of peripheral connections. The addition of a 40-pin GPIO header provides direct compatibility with a large library of Raspberry Pi sensors, servos, and actuators, greatly simplifying prototyping. For data-intensive applications, the device offers four USB 3.0 ports, a Gigabit Ethernet controller, and an HDMI 2.0 output, assuring high-speed communication and display capabilities required for complicated ROS (Robot Operating System) projects.
Advanced Vision and Storage Capabilities
Visual perception is crucial for modern AI, and this NVIDIA-compatible baseboard handles it with two dual-channel and one quad-channel MIPI-CSI interfaces that support cameras up to 4K resolution. This multi-camera support is critical for depth perception, stereo vision, and autonomous navigation. Furthermore, the device overcomes SD card storage restrictions by including an M.2 Key-M slot for high-speed NVMe SSD installation. An second M.2 Key-E slot is available for Wi-Fi and Bluetooth module expansion, enabling reliable wireless connectivity.
Industrial-Grade Power and Reliability
Stability is critical in embedded systems. The development kit has a DC 12V-24V wide-voltage power socket and supports the PD 60W protocol, providing versatile charging options for mobile robots and stationary gateways. The tiny PCB architecture includes reverse-connection and ESD protection, which protects the sensitive SoM and peripherals from typical electrical risks during the experimentation phase.
Applications
- RoS Robotics: Building SLAM-capable autonomous rovers, robotic arms, and drones.
- Edge AI Visualization: Object detection, face recognition, and automated license plate recognition are all available in real time.
- Generational AI: Large Language Models (LLMs) and picture generating tools are being run localized.
- Intelligent IoT gateways: Before sending data to the cloud, sensor data is aggregated and local anomalies detected.
- STEM Education: involvesAdvanced AI principles are taught using actual, industrial-standard hardware.
Package Content:
- Jetson Carrier Board x1
- Pluggable Terminal Block (DB2EK-3.81-2P-GN-S-Female)x1
- M2.5 Mounting Screwsx5
- Jumper Capx1
