NVIDIA Jetson Nano Developer Kit ( Used ) 4GB RAM
12,000.00 EGP
NVIDIA Jetson Nano Developer Kit is a compact, energy-efficient AI computer designed for machine learning (ML), computer vision (CV), and robotics applications. Powered by a quad-core ARM Cortex-A57 CPU and 128-core NVIDIA Maxwell GPU, it delivers 472 GFLOPS of compute performance while consuming as little as 5W.
Description
🔑 Key Features
✅ GPU-Accelerated AI – Runs TensorFlow, PyTorch, CUDA, OpenCV
✅ 4GB LPDDR4 RAM – Handles multiple neural networks
✅ 4x USB 3.0, Gigabit Ethernet, HDMI 2.0 – Rich I/O for peripherals
✅ MIPI CSI-2 Camera Connector – Supports dual 4K cameras
✅ 40-Pin GPIO Header – Raspberry Pi-compatible for sensors/actuators
✅ JetPack SDK – Pre-installed with Ubuntu 18.04 & AI frameworks
📊 Technical Specifications
| Component | Specification |
|---|---|
| CPU | Quad-core ARM Cortex-A57 @ 1.43 GHz |
| GPU | 128-core NVIDIA Maxwell (472 GFLOPS) |
| Memory | 4GB 64-bit LPDDR4 (25.6 GB/s) |
| Storage | microSD (OS + storage) |
| Video Encode | 4K @ 30 (H.264/H.265) |
| Connectivity | Gigabit Ethernet, 4x USB 3.0, HDMI 2.0 |
| Camera Support | 2x MIPI CSI-2 (12 lanes) |
| Power | 5V/4A (Micro-USB or Barrel Jack) |
| Dimensions | 100mm x 80mm x 29mm |
🚀 Applications
-
AI & Computer Vision – Object detection, facial recognition
-
Autonomous Robots – SLAM, path planning
-
Edge AI Inference – Real-time analytics without cloud dependency
-
Smart IoT Devices – Voice assistants, anomaly detection
-
Educational Projects – Learn AI/ML on embedded hardware
🔌 Getting Started
-
Flash OS – Download JetPack SDK and write to microSD.
-
Connect Peripherals – Keyboard, mouse, display, camera.
-
Power Up – Use 5V/4A supply (barrel jack recommended).
-
Run AI Models – Deploy pre-trained models or train your own.
📦 Package Includes
-
1 × Jetson Nano Developer Kit (4GB)
-
1 × Quick Start Guide
-
Not Included: microSD card, power supply (sold separately)











Reviews
There are no reviews yet.