NVIDIA Jetson Xavier NX for Embedded & Edge Systems

NVIDIA® Jetson Xavier NX brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems.

Jetson Xavier NX now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the NVIDIA Transfer Learning Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.

At 70 mm x 45 mm, Jetson Xavier NX packs the power of the NVIDIA Xavier SoC into a module the size of a Jetson Nano. This compact module combines exceptional performance and power advantage with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA® Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 51GB/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.

Jetson Xavier NX

Jetson Xavier NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.

The Jetson Xavier NX enables AI at the edge with powerful computing performance, while keeping the small form factor of the Jetson Nano. This makes it possible to deploy containerized Azure solutions with AI acceleration at scale for applications like processing multiple camera feeds, more sophisticated robotics applications, and edge AI gateway scenarios.

— Moe Tanabian, General Manager of Azure Edge Devices, Microsoft

NVIDIA’s architectural ability to leverage its AI software technology from multiple industries, from the data center to its Jetson AI edge solutions, is a dramatic accelerator for the embedded and robotics world. The embedded and robotics world is about to transform from fixed function software devices to modern, software-defined computers.

— Janakiram MSV, Analyst, Janakiram & Associates

The NVIDIA Jetson Xavier NX allows us to get higher performance within a tighter size and power budget, enabling innovative development of compact drones for a variety of practical applications. We believe the Jetson platform with cloud-native support is an important new development to help build and deploy future generations of autonomous machines.

— Sertac Karaman, Associate Professor of Aeronautics and Astronautics, Massachusetts Institute of Technology

NVIDIA's embedded Jetson products have been accelerating the research, development, and deployment of embedded AI solutions on Lockheed Martin's platforms. With Jetson Xavier NX's exceptional performance, small form factor & low power, we will be able to do more processing in real-time at the edge than ever before.

— Lee Ritholz, Director & Chief Architect Applied Artificial Intelligence, Lockheed Martin

In a world where AI chips are announced on what seems like a daily basis, I believe NVIDIA raised the bar with its Jetson Xavier NX — showing that exceptional performance at small size and low power, together with a consistent and powerful software architecture, is what matters in embedded edge computing.

— Patrick Moorhead, President & Principal Analyst Moor Insight & Strategy