Introduction to the Jetson Xavier NX

The Jetson Xavier NX is a powerful and compact AI system-on-module (SOM) developed by NVIDIA. This cutting-edge device is designed to bring supercomputing capabilities to edge devices, enabling them to run advanced AI applications with unprecedented performance and efficiency. With its impressive specifications and versatile design, the Jetson Xavier NX is revolutionizing the way we approach AI computing in embedded systems.

Key Features of the Jetson Xavier NX

  • Compact form factor: 70mm x 45mm
  • NVIDIA Volta architecture with 384 CUDA cores and 48 Tensor cores
  • 8GB LPDDR4x memory
  • 16GB eMMC 5.1 storage
  • 2x NVDLA engines for accelerated AI inference
  • 2x MIPI CSI-2 camera interfaces
  • Gigabit Ethernet, USB 3.1, and PCIe Gen2 connectivity

Performance and Capabilities

Computing Power

The Jetson Xavier NX boasts an impressive computing power, thanks to its NVIDIA Volta architecture. With 384 CUDA cores and 48 Tensor cores, this SOM can deliver up to 21 TOPS (Tera Operations Per Second) of AI performance. This level of performance enables the Jetson Xavier NX to handle complex AI workloads, such as deep learning, computer vision, and natural language processing, with ease.

AI Acceleration

In addition to its raw computing power, the Jetson Xavier NX features two NVDLA (NVIDIA Deep Learning Accelerator) engines. These dedicated hardware accelerators are optimized for fast and efficient AI inference, allowing the SOM to run pre-trained neural networks with minimal latency. This acceleration is particularly beneficial for applications that require real-time processing, such as autonomous vehicles, robotics, and video analytics.

Memory and Storage

The Jetson Xavier NX comes with 8GB of LPDDR4x memory, providing ample space for data processing and storage. This high-bandwidth memory ensures smooth performance even when handling large datasets or running memory-intensive applications. Additionally, the SOM features 16GB of eMMC 5.1 storage, which can be used to store the operating system, application files, and other necessary data.

Software and Development Tools


To facilitate the development of AI applications on the Jetson Xavier NX, NVIDIA provides the JetPack SDK. This comprehensive software development kit includes a variety of tools, libraries, and frameworks that streamline the process of creating and deploying AI solutions. Some of the key components of the JetPack SDK are:

  • TensorRT: A high-performance deep learning inference optimizer and runtime engine
  • cuDNN: A GPU-accelerated library for deep neural networks
  • CUDA: A parallel computing platform and programming model for NVIDIA GPUs
  • VisionWorks: A toolkit for accelerated computer vision and image processing
  • OpenCV: An open-source library for computer vision and machine learning

Supported Operating Systems

The Jetson Xavier NX supports various operating systems, including:

  • Linux for Tegra (L4T): A modified version of Ubuntu 18.04 optimized for NVIDIA Jetson platforms
  • NVIDIA Arducam Multimedia API: A set of libraries and utilities for accessing camera sensors and processing video streams
  • QNX: A real-time operating system for safety-critical applications
  • Windows IoT Enterprise: A version of Windows designed for IoT devices

This flexibility in operating system support allows developers to choose the best environment for their specific application requirements.

Applications and Use Cases

Autonomous Vehicles

The Jetson Xavier NX’s compact size and high performance make it an ideal choice for autonomous vehicle applications. By leveraging the SOM’s AI capabilities, developers can create advanced perception systems that enable vehicles to understand their surroundings and make real-time decisions. The Jetson Xavier NX can process data from multiple sensors, such as cameras, LiDAR, and radar, to provide a comprehensive understanding of the environment.


In the field of robotics, the Jetson Xavier NX can be used to power intelligent and autonomous robots. With its ability to run complex AI algorithms, the SOM can enable robots to perceive their environment, navigate autonomously, and interact with objects and people. The Jetson Xavier NX’s small form factor also makes it easy to integrate into various robotic platforms, from industrial manipulators to mobile robots.

Smart Cities and Surveillance

The Jetson Xavier NX can play a crucial role in the development of smart city infrastructure and surveillance systems. By analyzing video feeds from multiple cameras in real-time, the SOM can detect and track objects, recognize faces, and identify anomalous behavior. This capability can be used to improve public safety, optimize traffic flow, and enhance overall city management.

Industrial Automation

In industrial settings, the Jetson Xavier NX can be used to power advanced machine vision systems for quality control, defect detection, and process optimization. By analyzing high-resolution images and video streams, the SOM can identify defects, measure dimensions, and verify assembly processes with high accuracy and speed. This can help manufacturers improve product quality, reduce waste, and increase efficiency.

Healthcare and Medical Imaging

The Jetson Xavier NX’s AI capabilities can be leveraged to enhance healthcare and medical imaging applications. By processing and analyzing medical images, such as X-rays, CT scans, and MRIs, the SOM can assist in the early detection and diagnosis of diseases. Additionally, the Jetson Xavier NX can be used to develop intelligent medical devices, such as surgical robots and patient monitoring systems.

Comparison with Other NVIDIA Jetson Modules

Module Jetson Xavier NX Jetson Nano Jetson TX2 NX Jetson AGX Xavier
GPU Architecture Volta Maxwell Pascal Volta
CPU 6-core NVIDIA Carmel ARM v8.2 64-bit Quad-core ARM Cortex-A57 Dual-core NVIDIA Denver 2 + Quad-core ARM Cortex-A57 8-core NVIDIA Carmel ARM v8.2 64-bit
AI Performance (TOPS) 21 0.5 1.33 32
Storage 16GB eMMC 5.1 MicroSD card 16GB eMMC 5.1 32GB eMMC 5.1
Form Factor 70mm x 45mm 70mm x 45mm 50mm x 87mm 100mm x 87mm

As shown in the table above, the Jetson Xavier NX offers a balance between performance and size, making it suitable for a wide range of AI applications. While the Jetson AGX Xavier offers higher performance, it comes with a larger form factor and higher power consumption. The Jetson Nano, on the other hand, is more affordable but has lower AI performance compared to the Jetson Xavier NX.

Frequently Asked Questions (FAQ)

  1. What is the power consumption of the Jetson Xavier NX?
  2. The Jetson Xavier NX has a power consumption of 10-15W, depending on the workload and operating conditions.

  3. Can the Jetson Xavier NX be used for real-time applications?

  4. Yes, the Jetson Xavier NX is capable of running real-time applications thanks to its high-performance GPU, dedicated AI accelerators, and support for real-time operating systems like QNX.

  5. What is the operating temperature range of the Jetson Xavier NX?

  6. The Jetson Xavier NX has an operating temperature range of -40°C to 85°C, making it suitable for use in a variety of environments.

  7. Does the Jetson Xavier NX support external storage?

  8. Yes, the Jetson Xavier NX supports external storage through its PCIe Gen2 interface, which can be used to connect high-speed storage devices.

  9. Can the Jetson Xavier NX be used with custom carrier boards?

  10. Yes, the Jetson Xavier NX is designed as a system-on-module (SOM), which means it can be integrated into custom carrier boards to meet specific application requirements.


The Jetson Xavier NX is a remarkable AI system-on-module that brings supercomputing capabilities to edge devices. With its powerful NVIDIA Volta architecture, dedicated AI accelerators, and comprehensive software development kit, the Jetson Xavier NX enables developers to create and deploy advanced AI applications across a wide range of industries. As the demand for intelligent and autonomous systems continues to grow, the Jetson Xavier NX is poised to play a crucial role in shaping the future of edge computing and artificial intelligence.

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