Description
Waveshare NVIDIA Jetson Xavier NX Dev Kit 16G eMMC is a high-performance AI edge computing development kit built around the Jetson Xavier NX 16GB module. It delivers the compact size of the Xavier NX platform together with the processing capability needed for demanding computer vision, deep learning, robotics, and embedded AI applications.
This Jetson Xavier NX dev kit is centered on the 16GB version of the Xavier NX module and combines strong AI inference capability, rich development interfaces, and the mature NVIDIA JetPack ecosystem. With support for high-resolution sensors, accelerated multimedia, and edge deployment workflows, it is well suited for smart cameras, autonomous machines, industrial inspection, medical devices, and AIoT systems.
Features
- Based on the Jetson Xavier NX 16GB module for advanced AI edge computing tasks.
- Up to 21 TOPS AI performance for modern neural network inference and multi-stream sensor processing.
- 16GB LPDDR4x memory for larger models, more concurrent tasks, and more demanding AI workloads.
- 16GB eMMC onboard storage for stable embedded system deployment.
- JETSON-IO-BASE-B carrier board provides development-ready interfaces for cameras, displays, networking, USB devices, and expansion.
- Supports AI tasks such as image recognition, object detection, semantic segmentation, pose estimation, and position tracking.
- Works with the NVIDIA JetPack software stack, including CUDA, TensorRT, cuDNN, and containerized deployment workflows.
- Suitable for smart cameras, small commercial robots, portable medical devices, industrial inspection, and AIoT edge nodes.
- Supports multiple high-resolution sensors and accelerated multimedia processing.
- Compact module-based architecture makes it easier to integrate into embedded AI products and evaluation setups.
Specifications
| Jetson Xavier NX Module | |
|---|---|
| Version | 16GB version |
| AI Performance | 21 TOPS |
| GPU | 384-core NVIDIA Volta GPU with 48 Tensor Cores |
| CPU | 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, 6MB L2 + 4MB L3 |
| Memory | 16GB 128-bit LPDDR4x, 59.7GB/s |
| Storage | 16GB eMMC 5.1 |
| Power Modes | 10W / 15W / 20W |
| PCIe | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), totaling 144 GT/s |
| CSI Cameras | Up to 6 cameras, up to 24 via virtual channels, 14 channels MIPI CSI-2 D-PHY 1.2 |
| Video Encoding | 2x 4K60 / 4x 4K30 / 10x 1080p60 / 22x 1080p30 (H.265), 2x 4K60 / 4x 4K30 / 10x 1080p60 / 20x 1080p30 (H.264) |
| Video Decoding | 2x 8K30 / 6x 4K60 / 12x 4K30 / 22x 1080p60 / 44x 1080p30 (H.265), 2x 4K60 / 6x 4K30 / 10x 1080p60 / 22x 1080p30 (H.264) |
| Display | 2x multimode DP 1.4 / eDP 1.4 / HDMI 2.0 |
| DL Accelerator | 2x NVDLA engines |
| Vision Accelerator | 2x PVA |
| Networking | 10/100/1000 BASE-T Ethernet |
| Module Dimensions | 45 mm x 69.6 mm, 260-pin SO-DIMM connector |
Applications
- Smart cameras for AI video analytics and edge computer vision.
- Small commercial robots that need compact but powerful AI processing.
- Portable medical devices with local inference and sensor fusion.
- Automated optical inspection and industrial quality-control systems.
- AIoT embedded systems for connected edge intelligence and automation.
- Computer vision development involving recognition, detection, segmentation, and tracking workflows.
Product List
- Waveshare NX development kit: Jetson Xavier NX 16GB Module + JETSON-IO-BASE-B + Cooling Fan
- Power adapter × 1
Other Content
AI software ecosystem: the Jetson Xavier NX platform works with CUDA, TensorRT, cuDNN, NVIDIA AI frameworks, and container-based deployment pipelines for edge AI systems.
Onboard resources: the carrier board provides key development interfaces such as 40PIN GPIO, Gigabit Ethernet, USB 3.0, HDMI, DisplayPort, DC power input, MIPI CSI camera connectors, and fan support.
Outline dimensions:
Related reading on OpenELAB: Waveshare: Leading Provider of Developer Modules, How to Quickly Build a Face Recognition Application Using AI Edge Computing Modules.
Resources
- Official Wiki
- NVIDIA Jetson Xavier NX Overview
- JetPack SDK
- Jetson Xavier NX Getting Started
- NVIDIA Jetson FAQ
FAQ
1. Is this the 8GB or 16GB version?
This SKU is the Jetson Xavier NX 16GB version.
2. What is the main advantage of the 16GB version?
The 16GB LPDDR4x memory is better suited for larger AI models, more complex pipelines, and multi-task edge AI workloads.
3. What kinds of AI applications is it suitable for?
It is suitable for image recognition, object detection, semantic segmentation, pose estimation, tracking, and other embedded AI applications.
4. Which software ecosystem does it support?
It supports the NVIDIA JetPack ecosystem, including CUDA, TensorRT, cuDNN, and other AI development tools for Jetson platforms.