Jetson Carrier Board for NVIDIA Jetson Nano & Xavier NX (Edge AI Expansion)

Jargon buster

Plain-language definitions for the technical terms used above.

ESD protection

ESD protection helps protect electronics from damage caused by static electricity discharges. It is useful on development boards because cables, sensors and modules are often plugged and unplugged during prototyping.

GFLOPS

GFLOPS means billions of floating-point operations per second, a rough measure of computing speed for maths-heavy tasks. For AI and vision projects, higher GFLOPS can mean the board and module combination can process more data or run larger models.

GPIO

General-purpose input/output pins are microcontroller pins you can set in software to read signals, switch devices on and off, or connect to peripherals. The number of GPIO pins matters because it limits how many buttons, LEDs, sensors, and other parts you can wire directly to the board.

HDMI

HDMI is a common digital video and audio connection used by computers, media players, and many displays. If a display kit has HDMI input, it is usually much easier to test with a single-board computer because it can act like a normal monitor.

IoT

Short for Internet of Things, meaning physical devices that connect to networks or the internet to send data or be controlled remotely. It matters if you want projects such as connected sensors, remote controls or classroom data-logging activities.

M.2

A compact edge-connector format commonly used to plug small modules into a carrier board without soldering. On this product it is the physical connector used by the MicroMod system, so compatibility with the matching processor board is important.

M2.5

A metric screw thread size with a 2.5 mm nominal diameter. It matters for mounting because screws, standoffs, and holes must use the same size to fit securely without damaging the board.

microSD card

A microSD card is a small removable memory card used to store files such as audio tracks. For this product, the card is where the sound files live, so its capacity and formatting can affect how many sounds you can use.

MIPI

MIPI is a high-speed display and camera interface often used inside phones, tablets, and embedded devices. It matters because raw MIPI displays usually need special driver hardware or software support, unlike plug-and-play HDMI screens.

MIPI-CSI

A camera interface used on many embedded computer boards to connect compact camera modules directly to the processor. It matters for vision projects because it can handle high-resolution camera data with less overhead than a USB camera.

NVIDIA Jetson Nano

A compact NVIDIA computing module used for camera, robotics and machine-learning projects at the edge. Compatibility with Jetson Nano tells you this carrier board can host that module, but the module itself is not included.

NVMe

A high-speed storage standard commonly used by modern SSDs. NVMe support matters if you want faster storage for large AI models, video files or operating system images than a typical microSD card can provide.

PCB

A printed circuit board is a rigid board with copper tracks that connect electronic parts without loose wires. For this kit, the PCBs also form the airplane shape, so they are both the circuit base and part of the finished model.

ROS

ROS, the Robot Operating System, is a set of software tools and libraries commonly used to build robot projects. Mentioning ROS support suggests the board has the kinds of interfaces and processing power often needed for cameras, sensors and robot control.

System-on-module

A small computer module that contains the main processor, memory and core electronics, but needs a carrier board to provide connectors and power. This matters because this product is only the base board; a compatible Jetson module must be added before it can run projects.

Terminal block

A connector used to join wires together in a neat, removable, or serviceable way. For this product, it helps split one power input into several outputs without soldering.

TOPS

TOPS means trillions of operations per second, often used to describe AI accelerator performance. It helps compare whether a computing module is suited to lightweight image recognition or more demanding neural-network workloads.