NVIDIA Jetson Xavier NX Module 16GB RAM
The NVIDIA Jetson Xavier NX 16GB Module redefines edge AI computing by delivering server-class performance in a compact, power-efficient package. Its ability to handle multiple neural networks and high-resolution sensor data simultaneously makes it the ideal choice for developers building next-generation AI-powered devices. With comprehensive software support, cloud-native capabilities, and a robust partner ecosystem, this module empowers innovation across industries, from robotics to smart cities.
The NVIDIA Jetson Xavier NX Module 16GB is a compact system-on-module (SOM) delivering up to 21 TOPS of AI performance for edge computing applications. Powered by a 6-core NVIDIA Carmel ARM v8.2 CPU, a 384-core Volta GPU with 48 Tensor Cores, and 16GB LPDDR4x memory, it supports parallel neural network processing and high-resolution sensor data handling. With a 260-pin SO-DIMM connector and a 69.6mm x 45mm form factor, it integrates a robust set of interfaces, including MIPI CSI-2, PCIe Gen4, and HDMI 2.0, making it ideal for robotics, IoT, and smart devices. The module supports NVIDIA JetPack SDK for cloud-native AI development and offers multiple power modes (10W/15W/20W) for energy efficiency.
Features
- Up to 21 TOPS (INT8) AI performance for running multiple neural networks.
- 16GB LPDDR4x memory with 59.7GB/s bandwidth for high-performance computing.
- Supports 14 MIPI CSI-2 lanes (3×4 or 6×2) for up to 30Gbps camera input.
- Dual multi-mode display outputs (eDP 1.4a, DP 1.4, HDMI 2.0) with up to 3840×2160 at 60Hz.
- Comprehensive I/O: USB 3.1, PCIe Gen4, Gigabit Ethernet, and 15 GPIOs.
- Deep Learning Accelerator (DLA) and Programmable Vision Accelerator (PVA) for enhanced AI processing.
- Supports NVIDIA CUDA 11.4, OpenGL 4.6, and Vulkan 1.1 for graphics and compute tasks.
Specifications
| Parameter | Value |
|---|---|
| AI Performance | 21 TOPS |
| GPU | 384-core NVIDIA Volta™ architecture GPU with 48 Tensor Cores |
| Max GPU Frequency | 1100 MHz |
| CPU | 6-core NVIDIA Carmel Arm®v8.2 64-bit CPU 6MB L2 + 4MB L3 |
| Max CPU Frequency | 1.9 GHz |
| Memory | 16GB 128-bit LPDDR4x 59.7GB/s |
| Storage | 16GB eMMC 5.1 |
| Power | 10W – 20W |
| PCIe | 1 x4 (PCIe Gen4) + 1 x1 (PCIe Gen3) |
| CSI Camera | Up to 6 cameras (24 via virtual channels) |
| 14 lanes (3×4 or 6×2) MIPI CSI-2 | |
| D-PHY 1.2 (up to 30 Gbps) | |
| Video Encode | 2x 4K @ 60 | 4x 4K @ 30 | 10x 1080p @ 60 | 22x 1080p30 (H.265/H.264) |
| Video Decode | 2x 8K @ 30 | 6x 4K @ 60 | 12x 4K @ 30 | 22x 1080p @ 60 | 44x 1080p @ 30 (H.265) 2x 4K @ 60 | 6x 1080p @ 60 | 22x 1080p @ 30 (H.264) |
| Display | 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
| DL Accelerator | 2x NVDLA |
| DLA Max Frequency | 1.1 GHz |
| Vision Accelerator | 2x PVA |
| Networking | 1x GbE |
| USB | 1x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0 |
| Other IOs | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, PWM, DMIC & DSPK, GPIOs |
| Dimensions | 69.6mm x 45mm |
| Connector | 260-pin SO-DIMM connector |
Applications
- Autonomous robots and drones.
- Smart cameras and surveillance systems.
- Industrial automation and inspection.
- Medical imaging and diagnostic devices.
- Edge AI gateways for IoT applications.
Package Contents
- 1x NVIDIA Jetson Xavier NX Module 16GB.
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