NVIDIA
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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
Item #: 20016057

NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

90% of respondents would recommend this to a friend

Item #: 20016057
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The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out

Powerful AI Processing
The Jetson Nano delivers powerful AI computing performance, enabling developers to create complex machine learning applications with enhanced processing capabilities in compact hardware.
Robust Ecosystem
Access to a comprehensive ecosystem, including software tools, tutorials, and community support, which drastically reduces development time and accelerates project deployment for AI applications.
Affordable Innovation
Affordable price point allows hobbyists and professionals alike to experiment with advanced AI technologies, fostering innovation in robotics, computer vision, and IoT devices without breaking the bank.

Product Details

Run modern AI workloads with NVIDIA Jetson Nano Developer Kit. Power-efficient, easy to connect sensors, supported by NVIDIA JetPack. Fast and easy to get started with the proven software stack. Shop at Ubuy Rwanda
  • Delivers high compute performance for AI workloads at a small size and low cost
  • Ideal for image classification, object detection, segmentation, and speech processing applications
  • Power-efficient, consuming as little as 5 watts, and powered by micro-USB
  • Supported by NVIDIA JetPack with board support package, Linux OS, CUDA, cuDNN, and TensorRT software libraries for deep learning and GPU computing
  • Features extensive I/Os such as GPIO and CSI for connecting new sensors
  • Layout includes USB 3.0 ports, MIPI CSI-2 camera connector, HDMI 2.0, DisplayPort 1.3, Gigabit Ethernet, M.2 Key-E module, microSD card slot, and 40-pin GPIO header
RAM Memory Installed2048 MB
Memory Storage Capacity4 GB
Connectivity TechnologyGPIO, USB
Operating SystemLinux
Processor BrandNVIDIA
Wireless CompabilityBluetooth
Compatible DevicesDesktop
RAM Memory TechnologyLPDDR4
Processor Count4
Total Usb Ports1
Item Dimensions L x W x H2.72"L x 1.77"W x 1.77"H (6.9 x 4.5 x 4.5 cm)
BrandNVIDIA
Model Name945-13450-0000-100
UPC812674024356
Global Trade Identification Number00812674024356
ManufacturerNVIDIA Corporation
Model Number945-13450-0000-100
Mfr Part Number945-13450-0000-100
Ram Memory Installed Size2048 MB
Package Weight1 Pound

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Perfect for hobbyists wanting to explore AI and machine learning in small-scale projects and experiments.

  • Robotics Developers

    Ideal for building and programming robots, providing sufficient power for complex algorithms in a compact form factor.

  • Educational Institutions

    Great for universities and schools focusing on teaching AI, robotics, and computer vision with practical hands-on experience.

Not Suitable For
  • High-End Gamers

    Not suitable for gaming as it lacks the high-performance graphics capabilities required for intensive gaming applications.

Product Description

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Internal Components
NVIDIA
Jetson Nano

Customer Questions & Answers

  • Question: What is the NVIDIA Jetson Nano Developer Kit used for?

    Answer: The NVIDIA Jetson Nano Developer Kit is designed for AI development and robotics projects. It allows users to create and deploy machine learning models, enabling applications like computer vision, robotics, and multimedia processing. The kit is equipped with a powerful GPU, CPU, and RAM to handle complex algorithms and real-time inference, making it ideal for hobbyists, researchers, and professionals working on innovative tech solutions.
  • Question: What are the key features of the NVIDIA Jetson Nano Developer Kit?

    Answer: The key features of the NVIDIA Jetson Nano Developer Kit include a Quad-core ARM Cortex-A57 CPU, 128-core Maxwell GPU, 4 GB of LPDDR4 RAM, and support for multiple camera outputs. It supports various AI libraries and frameworks, such as TensorFlow and PyTorch. This hardware synergy enhances computational power, making it suitable for learning and experimenting with AI concepts and creating sophisticated projects like drones, robots, and smart devices.
  • Question: Can the NVIDIA Jetson Nano run Linux?

    Answer: Yes, the NVIDIA Jetson Nano Developer Kit runs on a Linux-based operating system, specifically Ubuntu. This OS environment allows developers to access a broad range of software and tools customized for AI and machine learning tasks. This compatibility fosters a rich ecosystem of applications where users can easily install necessary libraries and software to start developing and testing their projects effectively.
  • Question: What types of projects are suitable for the NVIDIA Jetson Nano Developer Kit?

    Answer: The NVIDIA Jetson Nano Developer Kit is versatile and can be used for numerous projects, including robotics, smart home applications, and AI-enhanced security systems. Users can develop facial recognition systems, autonomous drones, or even create DIY IoT devices. Its capability to handle neural networks allows for real-time data processing, making it ideal for education, hobbyist projects, or research applications in AI and robotics.
  • Question: How do I set up the NVIDIA Jetson Nano Developer Kit?

    Answer: Setting up the NVIDIA Jetson Nano Developer Kit involves several straightforward steps. First, you need to install the microSD card with the Jetson Nano image. Then, connect peripherals like a mouse, keyboard, and monitor, and power it up. Follow the on-screen instructions to complete the initial setup. Once configured, you can access the terminal to install AI libraries and start your development environment, tailoring it to your project's needs.
  • Question: What is the difference between Jetson Nano and other Jetson models?

    Answer: The primary difference between Jetson Nano and other Jetson models, like Jetson Xavier or Jetson TX2, lies in their performance and intended use cases. Jetson Nano offers budget-friendly access for smaller projects, focusing on smaller-scale AI applications. In contrast, other models provide higher computing power, suited for advanced AI tasks, larger models, or commercial products, allowing users to choose based on computational needs and project complexity.
  • Question: Is the NVIDIA Jetson Nano suitable for beginners?

    Answer: Absolutely, the NVIDIA Jetson Nano Developer Kit is highly suitable for beginners interested in AI and robotics. Its supportive community, numerous tutorials, and extensive online resources make it an ideal starting point. Users can gradually explore the complexities of AI, machine learning, and programming while working on hands-on projects, facilitating a practical learning experience that connects theory with real-world applications.
  • Question: What power supply does the NVIDIA Jetson Nano Developer Kit require?

    Answer: The NVIDIA Jetson Nano Developer Kit requires a power supply rated at 5V/4A. It is crucial to use an appropriate power supply to ensure stable performance, especially when peripherals are connected. A reliable power source helps maintain the required energy for intensive tasks, and can be utilized in various setups for robotics projects, edge computing applications, or creating AI models that demand significant processing power.
  • Question: What are the connectivity options for the NVIDIA Jetson Nano?

    Answer: The NVIDIA Jetson Nano Developer Kit offers several connectivity options, including USB 3.0 and USB 2.0 ports, HDMI output, and GPIO pins. It supports wireless communication using USB adapters and can connect to various sensors and devices, like cameras or robots. This extensive connectivity enhances its versatility, making it perfect for projects requiring interaction with multiple components and devices in an intelligent ecosystem.
  • Question: Where can I buy NVIDIA Jetson Nano Developer Kit 945-13450-0000-100 in Rwanda?

    Answer: You can purchase the NVIDIA Jetson Nano Developer Kit 945-13450-0000-100 from Ubuy in Rwanda. Ubuy offers a seamless shopping experience with a variety of tech products, including the Jetson Nano, making it a reliable platform for acquiring your development kit.

NVIDIA Internal Components 945-13450-0000-100 Editorial Review

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The Jetson Nano B01 is a single board computer that runs full-sized Ubuntu Linux on ARM and can run Python code, including TensorFlow/PyTorch. It has 4GB of RAM soldered on, but other Jetson development boards have between 8GB and 32GB of RAM. Prices have recently come down to the suggested retail price of $99, and Nvidia provides numerous online resources and forums for learning about AI. However, some customers have had difficulty making the device work and have experienced problems with the board not booting, and one user reported that their board stopped working 13 months after purchase.

Customer Reviews & Ratings

633 customers ratings
  • 5 Star
    81%
  • 4 Star
    7%
  • 3 Star
    5%
  • 2 Star
    1%
  • 1 Star
    6%

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Pros

  • Runs full-sized Ubuntu Linux on ARM
  • Can run Python code, including TensorFlow/PyTorch
  • Nvidia provides numerous online resources and forums for learning about AI

Cons

  • Some customers have experienced problems with board not booting and with the device not working

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Features & Benefits

  • Run AI frameworks and models for image classification, object detection, segmentation, and speech processing.
  • Easy-to-connect I/Os and power-efficient design.
  • Supported by NVIDIA JetPack with deep learning, computer vision, and multimedia processing software libraries.
  • Compatible with NVIDIA's AI platform for training and deploying AI software.
  • Proven software stack reduces complexity and effort for developers.

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