JETSON XAVIER NX
The World’s Smallest AI Supercomputer for Embedded and Edge Systems. Now with Cloud-Native Support.
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.
SIZE
XAVIER PERFORMANCE. NANO SIZE.
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.
PERFORMANCE
POWERFUL 21 TOPS AI PERFORMANCE
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.
POWER
INCREDIBLE POWER EFFICIENCY
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.
IDEAL FOR CRITICAL EMBEDDED APPLICATIONS
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 NVIDIA® Jetson Xavier NX™ Developer Kit brings supercomputer performance to the edge. It includes a Jetson Xavier NX module for developing multi-modal AI applications with the NVIDIA software stack in as little as 10 W. You can also now take advantage of cloud-native support to more easily develop and deploy AI software to edge devices.
The developer kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. A Jetson Xavier NX module and reference carrier board are included, along with AC power supply.
Smaller than a credit card (70×45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.
Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.
TECHNICAL SPECS
| 10 W | 15 W | |
|---|---|---|
| AI Performance | 14 TOPS (INT8) | 21 TOPS (INT8) |
| GPU | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores | |
| GPU Max Freq | 800 MHz | 1100 MHz |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
|
| CPU Max Freq | 2-core @ 1500MHz 4-core @ 1200MHz | 2-core @ 1900MHz 4/6-core @ 1400Mhz |
| Memory | 8 GB 128-bit LPDDR4x @ 1600 MHz 51.2GB/s |
|
| Storage | 16 GB eMMC 5.1 (Micro SD-Card is required for Developer Kit) |
|
| Power | 10W | 15W | |
| PCIe | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s * | |
| CSI Camera | Up to 6 cameras (24 via virtual channels) 14 lanes (3x4 or 6x2) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) |
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| Video Encode | 2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264) | |
| Video Decode | 2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265) 2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264) |
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| Display | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 | |
| DL Accelerator | 2x NVDLA Engines | |
| DLA Max Freq | 1100 MHz | |
| Vİsion Accelerator | 7-Way VLIW Vision Processor | |
| Network | 10/100/1000 BASE-T Ethernet | |
| USB | 1xUSB 3.1 (10 Gbps) | 3xUSB 2.0 | |
| Other I/Os | 1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs | |
| Mechanical | 45 mm x 69.6 mm 260-pin SO-DIMM Connector |
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