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.
NVIDIA® Jetson Xavier™ NX 16GB brings supercomputer performance to the edge in a compact system-on-module (SOM) that’s smaller than a credit card. The energy-efficient Jetson Xavier NX module delivers server-class performance—up to 14 TOPS at 10W or 21 TOPS at 15W or 20W. This unique combination of form-factor, performance, and power advantage opens the door for innovative edge devices in the fields of manufacturing, logistics, retail, service, agriculture, smart city, and medical instruments.
Smaller than a credit card (70x45mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15W or 20W) or up to 14 TOPS (at 10W). 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 new possibilities for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.
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 10W. 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 an AC power supply.
| GPU | NVIDIA Volta™ architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
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| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
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| DLA | 2x NVDLA | |
| Vision Accelerator | 2x PVA | |
| Memory | 8 GB 128-bit LPDDR4x 59.7GB/s | |
| Storage | microSD (Card not included) | |
| Video Encode | 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264) |
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| Video Decode | 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264) |
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| Camera | 2x MIPI CSI-2 D-PHY lanes | |
| Connectivity | Gigabit Ethernet, M.2 Key E (WiFi/BT included), M.2 Key M (NVMe) | |
| Display | HDMI and DP | |
| USB | 4x USB 3.1, USB 2.0 Micro-B | |
| Others | GPIOs, I2C, I2S, SPI, UART | |
| Mechanical | 103mm x 90.5mm x 34mm | |