NVIDIA Jetson Nano Module 4GB RAM
A compact and power-efficient AI System-on-Module designed for embedded systems and intelligent IoT applications. Jetson Nano delivers strong AI performance for computer vision, robotics, and edge inference.
Product Description
The NVIDIA Jetson Nano Module 4GB RAM is a high-performance System-on-Module
(SoM) built for AI-powered embedded and IoT applications. It is based on the
NVIDIA Tegra X1 architecture and combines a quad-core ARM Cortex-A57 CPU with
a 128-core Maxwell GPU.
With 4GB LPDDR4 memory, 16GB eMMC storage, and support for the NVIDIA JetPack SDK,
Jetson Nano enables real-time computer vision, robotics control, and deep
learning inference at the edge while maintaining low power consumption
between 5–10W.
Key Features
- 128-core NVIDIA Maxwell™ GPU
- Quad-core ARM® Cortex®-A57 CPU up to 1.43 GHz
- 4GB 64-bit LPDDR4 memory (25.6 GB/s bandwidth)
- 16GB eMMC 5.1 onboard storage
- AI framework support: TensorFlow, PyTorch, Caffe
- Low power consumption (5W – 10W)
- Compact 69.6mm × 45mm System-on-Module design
Specifications
| AI Performance | Up to 472 GFLOPS (FP16) |
| GPU | 128-core NVIDIA Maxwell™ GPU (921 MHz) |
| CPU | Quad-core ARM® Cortex®-A57 @ 1.43 GHz |
| Memory | 4GB 64-bit LPDDR4 (25.6 GB/s) |
| Storage | 16GB eMMC 5.1 |
| Video Encode | 4K@30 (H.265), 1080p@60 |
| Video Decode | 4K@60 (H.265) |
| Connectivity | USB 3.0, HDMI 2.0, Gigabit Ethernet, MIPI CSI-2 |
| Power | 5W – 10W |
| Dimensions | 69.6mm × 45mm (260-pin SO-DIMM) |
Applications
- Autonomous robots and navigation systems
- Smart cameras and real-time video analytics
- Edge AI inference for IoT devices
- AI-powered drones and object detection
- Education and embedded AI development
SKU: 102110405
Brand: NVIDIA
Categories: Development Boards
Tags: Jetson Nano, AI Module, Embedded AI, NVIDIA