When diving into edge AI development with NVIDIA Jetson modules, it’s easy to focus on the powerful compute modules like Jetson Nano, Xavier NX, Orin or Thor. But it is also very important to have the right carrier board for your project.

In this post, we’ll unpack what a Jetson carrier board is, its functions, components, and how to choose the right one for your project. Whether you’re a hobbyist, engineer, or product designer, understanding carrier boards is critical to building scalable and reliable edge AI solutions.

At its core, a carrier board is a printed circuit board (PCB) that breaks out the functionality of a Jetson module and provides the necessary interfaces, power rails, and connectivity for the module to operate in the real world.

Think of the Jetson module as the “brain” — it houses the CPU, GPU, memory, and storage — while the carrier board is the “body” that connects it to the outside world.

Jetson modules are designed as System on Modules (SoMs), meaning they’re compact, self-contained compute units that require a carrier board to connect peripherals like cameras, displays, USB devices, and networking interfaces.

A Jetson carrier board performs several key roles:

• Power Rails: Regulates and distributes the correct voltage and current to the module and peripherals.
• Interface Expansion: Provides connectors for USB, Ethernet, HDMI/DisplayPort, CSI (camera), PCIe, UART, I2C, SPI, and more.
• Peripheral Support: Enables connectivity for devices like cameras, SSDs, Wi-Fi/Bluetooth modules, and sensors.
• Debugging and Development: Offers serial console access, recovery mode toggles, boot switches, and sometimes JTAG headers.
• Cooling Integration: Many boards support fan control and thermal management to keep the module within safe operating temperatures.

Here are some of the essential components you’ll find on a typical Jetson carrier board:

• Power Management ICs: Ensure proper power sequencing and conversion for the module and peripherals.
• USB/Ethernet PHYs: Handle data link-level communication for USB and network interfaces.
• Video Output Interfaces: HDMI, DisplayPort, or eDP output components for connecting external displays.
• MIPI CSI Connectors: For camera input — often with multiple lanes for high-bandwidth sensors.
• Connectors and Expansion Headers: Such as GPIO, I2C, SPI, CAN, and UART headers for integrating custom electronics.
• ESD Protection and Level Shifters: For signal integrity and protection against electrostatic discharge.
• Clock Generators: Provide stable timing signals required by some interfaces or modules.
• Microcontrollers (on some boards): Used for fan control, power sequencing, or even watchdog functionality.

A carrier board is only as good as its software support, and that’s where the Board Support Package (BSP) comes in.

The BSP is a collection of software that includes:

• Bootloader
• Linux Kernel
• Device Trees
• Drivers
• User-space utilities

It tells the Jetson module how to communicate with the hardware on the carrier board. Each board may need a custom device tree and sometimes even kernel patches to support specific peripherals or configurations.

NVIDIA provides a BSP through its L4T (Linux for Tegra) platform, but third-party carrier board vendors often release their own BSPs or overlays to ensure full compatibility.

When selecting a carrier board, several key factors come into play:

1. Module Compatibility: Not all carrier boards support all Jetson modules. The Orin NX, AGX Orin and Thor have different form factors and power consumptions.

2. Form Factor: Consider the size and layout of the board — compact boards are ideal for drones and robots, while full-sized options are better for industrial deployments.

3. I/O Requirements: Define your needs for USB ports, video outputs, CSI camera lanes, Ethernet (1GbE vs 10GbE), CAN bus, and other interfaces.

4. Thermal Design: Will your application operate in a sealed enclosure? Does it require active cooling? Make sure the carrier board supports appropriate thermal solutions.

5. Power Supply: Check input voltage ranges and power requirements. Some boards support wide input ranges or even PoE (Power over Ethernet).

6. Environmental Constraints: Industrial-grade boards may offer extended temperature ranges, shock/vibration resistance, and conformal coating.

7. Software and Community Support: Well-documented boards with an active support community or vendor-provided BSPs reduce development time and risk.

A common point of confusion is the interchangeability of Jetson modules and carrier boards. While some boards claim compatibility across multiple modules, real-world deployment can be tricky.

Key areas to check:

Pin Compatibility: Xavier NX and Orin NX share the same 260-pin connector, but Orin Nano has some functional limitations.

Mechanical Fit: Ensure the heatsink and connector layout aligns between module and carrier.

Power Delivery: Orin modules can demand more power than earlier modules. Ensure the board supports this.

BSP Compatibility: Using an Orin NX module on an older Xavier board may require BSP patches or kernel updates.

Jetson carrier boards are more than just breakout boards — they are critical enablers for deploying edge AI solutions. Whether you’re building a smart camera, autonomous robot, or industrial AI gateway, choosing the right carrier board impacts performance, reliability, scalability, and time-to-market.

Understand your project’s requirements, verify compatibility, evaluate software support, and choose a board that can grow with your system’s needs.

If you’re planning to develop an AI-powered product or edge computing solution, NVIDIA Jetson modules are among the most capable platforms available. They offer a compelling combination of high-performance computing, low power consumption, and strong compatibility with leading AI frameworks.

However, getting started can be daunting—Which Jetson module best fits your project? How do you begin working with one?  What operating system does it run—Windows or Linux? Is there a sandbox or simulation environment you can explore before investing in hardware, or should you purchase a device and dive right in?

NVIDIA Jetson modules are compact, high-performance computing units designed for AI at the edge. Built to handle demanding tasks like computer vision, machine learning, and robotics, Jetson modules combine a powerful GPU, CPU, memory, and storage into a small, efficient package. They’re widely used in applications such as autonomous machines, smart cameras, industrial automation, and embedded robotics.

To support development on Jetson, NVIDIA provides JetPack—a comprehensive SDK that includes the Linux-based operating system, CUDA libraries, AI frameworks, computer vision tools, and developer APIs. JetPack simplifies the process of building, deploying, and optimizing AI-powered applications on Jetson hardware.

For a detailed introduction, visit the Jetson Beginner’s Guide

For development purposes or for a first experience with the Jetson platform, NVIDIA offers convenient solutions in the form of developer kits. These kits provide an accessible starting point for evaluating Jetson capabilities and building proof-of-concept applications.

Before diving into module selection, it’s important to understand developer kits. NVIDIA® Jetson™ developer kits are used by professionals to develop and test software for products based on Jetson modules, and by students and enthusiasts for projects and learning. Each developer kit includes a non-production specification Jetson module attached to a reference carrier board with standard hardware interfaces for flexible development and rapid prototyping.

Jetson Developer Kits are reference platforms created by NVIDIA that include:

• A Jetson module (typically not production-grade)
• A carrier board with common interfaces (USB, HDMI, Ethernet, etc.)
• Power supply and sometimes pre-installed software (JetPack SDK)

These kits are for development and prototyping only, not for production deployment. They allow developers to evaluate performance, test code, and build proof-of-concepts before committing to a custom hardware design.

Here are the key Jetson developer kits to consider:

The NVIDIA Jetson Orin Nano™ Super Developer Kit is a compact, yet powerful computer that redefines generative AI for small edge devices. It provides developers, students, and makers with the most affordable and accessible platform, backed by the support of NVIDIA AI software and a broad AI software ecosystem.

It is configured by default for those targeting Jetson AGX Orin series modules, but can be easily re-flashed to emulate Jetson Orin NX or Jetson Orin Nano series modules

Choosing a Jetson module for production depends on your performance, power, and cost requirements. Here’s a quick guide:

When you’re confident about your performance needs based on developer kit evaluation, you can move toward production modules and design or select a carrier board that suits your deployment environment.

The journey to building a successful Jetson-based product starts with choosing the right developer kit. Use it to:

1. Validate your application performance.
2. Experiment with I/O and peripherals.
3. Optimize your AI models.
4. Understand thermal and power characteristics.

Once you’re satisfied with your prototype, you can move forward by selecting the right Jetson production module and pairing it with a custom or third-party carrier board optimized for your specific use case. Start smart: develop with the right kit, see your results, and scale confidently with the right Jetson module. If you still have questions from where to start free feel to ask our experts: contact form