Designed for Embedded and Edge Systems, the Jetson Xavier NX comes with Cloud-Native Support

NVIDIA Jetson Xavier NX is the world’s smallest, most advanced embedded AI supercomputer designed for autonomous robotics and edge computing devices. Ideal for think mobile robots, drones, smart cameras, portable medical equipment, embedded IoT systems, Jetson Xavier NX is capable of deploying server-class performance in a compact 70x45mm form-factor. It delivers up to 21 TOPS of compute under 15W of power, or up to 14 TOPS of compute under 10W.


At 70 mm x 45 mm, Jetson Xavier NX packs the power of an NVIDIA Xavier SoC into a module the size of a Jetson Nano. This small module combines exceptional performance and power advantages 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 59.7GB/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 opens up new opportunities for deploying next-generation autonomous systems and intelligent edge devices that require high-performance AI and complex DNN’s in a small, low-power footprint – think mobile robots, drones, smart cameras, portable medical equipment, embedded IoT systems, and more. NVIDIA’s JetPack SDK with support for CUDA-X provides the complete tools to develop cutting-edge AI solutions and scale your application between the cloud and edge with world-leading performance.

Xavier NX 16GB

Jetson Xavier NX 16GB delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. Customers can leverage the 16GB memory with their real time AI pipelines to run complex applications with multiple neural networks, processing data in parallel from high-resolution sensors. This opens the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.
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