The NVIDIA® Jetson Xavier™ NX Developer Kit
brings supercomputer performance to the edge. It includes a power-efficient, compact Jetson Xavier NX module for AI edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, Jetson TX2. The capability to develop and test power-efficient, small form-factor solutions with accurate, multi-modal AI inference opens the door for new breakthrough products.
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Developers can now take advantage of cloud-native support, transforming the experience of developing and deploying AI software to edge devices. Pre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, give a faster path to trained and optimized AI networks. Containerized deployment to Jetson devices also allows flexible and seamless updates.
The developer kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. When combined with the compact Jetson Xavier NX, this powerful stack helps you create innovative solutions for smart cities, retail, manufacturing, logistics, healthcare, agriculture, and more.
Designed for ease of use and speed of deployment, Jetson is the most flexible platform to get to market and continuously update over the lifetime of a product.
The Best of Both Worlds
Xavier Performance. Nano Size.
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.
For Critical Embedded Applications
Jetson Xavier NX is perfect for high-performance AI systems like drones, portable medical devices, small commercial robots, smart cameras, high-resolution sensors, automated optical inspection, and other IoT embedded systems
Technical Specifications
| DESCRIPTION | DESCRIPTION |
|---|---|
| GPU | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
| CPU | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
| DL Accelerator | 2x NVDLA Engines |
| Vision Accelerator | 7-Way VLIW Vision Processor |
| Memory | 8 GB 128-bit LPDDR4x @ 51.2GB/s |
| Storage | microSD (not included) |
| 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) | |
| Camera | 2x MIPI CSI-2 DPHY lanes |
| Connectivity | Gigabit Ethernet, M.2 Key E (WiFi/BT included), M.2 Key M (NVMe) |
| Display | HDMI and display port |
| USB | 4x USB 3.1, USB 2.0 Micro-B |
| Others | GPIO, I2C, I2S, SPI, UART |
| Mechanical | 103 mm x 90.5 mm x 34.66 mm |
