🎛️ Choose Your Variant: 4GB vs 2GB
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Jetson Nano 4GB (B01 Dual Camera Version): The gold standard for engineering students and developers. With 4GB of LPDDR4 memory and dual MIPI-CSI camera connectors, this version is built to run multiple heavy neural networks simultaneously. It is highly recommended for complex computer vision, advanced robotics, and multi-sensor final year projects.
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Jetson Nano 2GB: The ultimate budget-friendly entry point into World-Class AI. Perfect for students, makers, and educators looking to learn the basics of AI, run single neural networks, and build foundational robotics projects without breaking the bank.
🌟 Why the Jetson Nano Series is Perfect for Your Project
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Real AI Power: Powered by a 128-core NVIDIA Maxwell™ GPU, both boards let you run popular AI frameworks like TensorFlow, PyTorch, Caffe, and MXNet natively.
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Highly Power Efficient: Consumes between 5W to 10W, making it highly suitable for battery-operated mobile robots, smart drones, and autonomous vehicles.
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Massive Community Support: Backed by NVIDIA’s robust JetPack SDK. You get instant access to a massive ecosystem of open-source libraries, GitHub repos, and tutorials to fast-track your coding.
📊 Side-by-Side Technical Comparison
Use the table below to see which version fits your engineering requirements:
| Feature | Jetson Nano 4GB (B01) | Jetson Nano 2GB |
| GPU | 128-core NVIDIA Maxwell™ | 128-core NVIDIA Maxwell™ |
| CPU | Quad-core ARM® Cortex®-A57 @ 1.43 GHz | Quad-core ARM® Cortex®-A57 @ 1.43 GHz |
| Memory | 4 GB 64-bit LPDDR4 (25.6 GB/s) | 2 GB 64-bit LPDDR4 (25.6 GB/s) |
| Camera Interface | 2x MIPI CSI-2 DPHY lanes | 1x MIPI CSI-2 DPHY lane |
| Connectivity | Gigabit Ethernet (M.2 Key E slot for Wi-Fi) | Gigabit Ethernet (Includes Wi-Fi USB Dongle*) |
| Display Outputs | HDMI and DisplayPort | HDMI only |
| USB Ports | 4x USB 3.0, 1x Micro-B | 1x USB 3.0, 2x USB 2.0, 1x Micro-B |
📦 What’s Inside the Box?
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1x NVIDIA Jetson Nano Developer Kit (Based on your chosen 4GB or 2GB variant)
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Quick Start / Support Guide
💡 Important Accessory Note: Neither variant comes with a power supply or MicroSD card out of the box. Because AI workloads demand stable power, we strongly advise against standard phone chargers. Scroll down to grab our Jetson Nano Starter Bundles featuring certified 5V 4A DC Power Adapters and Class 10 High-Speed MicroSD cards!
FAQ
Q: What is the price difference between the Jetson Nano 4GB and 2GB in Karachi?
A: The 4GB variant offers double the memory and dual-camera support, making it a premium choice for complex engineering projects. The 2GB model is optimized for maximum affordability. Select your desired variant from the dropdown menu above to see the live, updated pricing and current student discounts!
Q: Which variant do I need for my university Final Year Project (FYP)?
A: If your project involves heavy multi-object tracking, dual cameras, or running complex parallel deep learning models, we highly recommend the 4GB variant. For simpler tasks like basic image classification or standard line-following robotics, the 2GB variant works perfectly.
Q: Do these boards run a standard operating system?
A: Yes! Both variants run a customized, lightweight version of Ubuntu Linux, installed easily via NVIDIA’s official JetPack SDK images.
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