NVIDIA Jetson Nano Developer Kit ( Used ) 4GB RAM
In Stock
Categories: NVIDIA
Overview
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
đź“Š 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
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AI & Computer Vision – Object detection, facial recognition
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Autonomous Robots – SLAM, path planning
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Edge AI Inference – Real-time analytics without cloud dependency
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Smart IoT Devices – Voice assistants, anomaly detection
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Educational Projects – Learn AI/ML on embedded hardware
🔌 Getting Started
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Flash OS – Download JetPack SDK and write to microSD.
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Connect Peripherals – Keyboard, mouse, display, camera.
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Power Up – Use 5V/4A supply (barrel jack recommended).
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Run AI Models – Deploy pre-trained models or train your own.
📦 Package Includes
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1 Ă— Jetson Nano Developer Kit (4GB)
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1 Ă— Quick Start Guide
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Not Included:Â microSD card, power supply (sold separately)
