





NVIDIA Jetson Carrier Board serves as a compact edge‑AI development platform designed to transform embedded machine‑learning concepts into real‑world deployments. Designed for NVIDIA® Jetson Nano™, Jetson Xavier™ NX, and Jetson TX2™ NX system‑on‑modules, this AI expansion baseboard delivers computing capability ranging from 472 GFLOPS to 21 TOPS for workloads such as computer vision, neural‑network inference, and generative AI experimentation. The embedded AI baseboard integrates rich connectivity including multi‑camera interfaces, high‑speed NVMe storage expansion, and a 40‑pin header compatible with the Raspberry Pi ecosystem, providing a practical foundation for robotics research, intelligent vision systems, and advanced STEM Education platforms.
Note: This product is a Carrier Board only. The NVIDIA Jetson System-on-Module (SoM) is NOT included and must be purchased separately to function.

Figure: Board Overview of Jetson Carrier Board
High‑Performance Edge AI with Flexible Jetson Compatibility
Broad compatibility with NVIDIA Jetson Nano, Jetson Xavier NX, and Jetson TX2 NX enables scalable AI deployment ranging from lightweight experimentation to production‑level inference. This edge‑AI carrier platform allows developers to select the appropriate system‑on‑module depending on computing requirements, supporting workloads from basic image classification to demanding deep‑learning models. Such flexibility turns the hardware into a future‑ready embedded AI computing base suitable for robotics laboratories, research institutions, and rapid prototyping environments where processing capability may evolve over time.
Extensive Interface Expansion for Robotics and Embedded Systems
Rich I/O resources support complex robotic ecosystems and multi‑peripheral integration. A 40‑pin GPIO header compatible with Raspberry Pi accessories enables direct use of widely available sensors, actuators, and expansion modules, simplifying hardware prototyping. High‑bandwidth connectivity includes four USB 3.0 ports, Gigabit Ethernet networking, and HDMI 2.0 display output. Such connectivity enables smooth integration with Robot Operating System (ROS) platforms, robotics controllers, and intelligent automation prototypes requiring reliable communication between cameras, sensors, and edge computing hardware.
Advanced Multi‑Camera Vision and High‑Speed Storage
Computer vision development benefits from extensive imaging support through two dual‑channel MIPI‑CSI interfaces and one quad‑channel MIPI‑CSI interface capable of handling cameras up to 4K resolution. Multi‑camera capability supports stereo vision, depth perception, and autonomous navigation research. Storage performance improves significantly through the integrated M.2 Key‑M slot supporting NVMe SSDs, providing far greater throughput than typical microSD solutions. An additional M.2 Key‑E interface allows installation of Wi‑Fi and Bluetooth modules for wireless connectivity in distributed AI or IoT deployments.
Robust Power Design for Reliable Embedded Deployment
Reliable power architecture supports demanding embedded AI workloads and mobile robotics environments. A wide‑range DC 12V–24V input accommodates industrial power systems commonly used in robots, drones, and autonomous vehicles. Support for the PD 60W protocol introduces additional flexible power delivery options for development setups. Integrated reverse‑connection protection and ESD protection enhance electrical safety, safeguarding valuable Jetson modules and connected peripherals during rapid prototyping, laboratory testing, and long‑term embedded deployment scenarios.
Applications span robotics development, intelligent machine vision, and edge computing research. Multi‑camera capability, high‑speed networking, and NVMe storage expansion make this embedded AI carrier platform suitable for ROS robots, autonomous navigation prototypes, smart inspection systems, and localized AI inference gateways used in research labs, innovation centers, and advanced educational environments.