Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
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Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
The WayPonDev Jetson Nano SUB Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)
Numéro d'article: 56940633

Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC)

76% des répondants recommanderaient ceci à un ami

Numéro d'article: 56940633
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The WayPonDev Jetson Nano SUB Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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Ce qui se démarque

Compact Design
The Jetson Nano features a small form factor ideal for various AI applications, allowing developers to easily integrate it into different projects without sacrificing performance.
16GB eMMC Memory
With 16GB of embedded eMMC storage, this developer kit ensures ample space for running complex machine learning models and applications seamlessly.
AI Capabilities
Optimized for AI machine learning, the Jetson Nano enables real-time processing and analysis of data, making it a powerful tool for developers venturing into artificial intelligence.

Détails du produit

Shop Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC) online at a best price in Mauritius. B09Y94MGRZ
RAM Memory Installed4 GB
Memory Storage Capacity16 GB
Processor Speed143 GHz
Connectivity TechnologyEthernet
Operating SystemLinux, Ubuntu18.04
Processor BrandArm Cortex A57
Wireless Compability802.11b
Compatible DevicesCameras (MIPI CSI-2 DPHY interface), USB devices (keyboards, mice, external storage), HDMI and eDP displays, microcontrollers and sensors (via GPIO, I2C, I2S, SPI, UART)
RAM Memory TechnologyLPDDR4
Processor Count4
Total Usb Ports4
Item Dimensions L x W x H3.94"L x 3.15"W x 1.14"H (10 x 8 x 2.9 cm)
BrandWayPonDEV
Model NameJetson Nano SUB Kit Nano Developer Kit (Not Official N-VI-DA Version)
Built-In Media1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board (SUB Kit Nano)
Number of Packs1
Number of Items1
Unit Count1 Count
ManufacturerWayPonDEV
Model NumberJetson Nano 4GB SUB Kit Nano
Mfr Part NumberJetson Nano 4GB SUB Kit Nano
Ram Memory Installed Size4 GB
CPU Speed143 GHz

Contenu de la boîte

1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board (SUB Kit Nano)

À qui est-ce destiné ?

Suitable For
  • AI Developers

    Ideal for developers looking to prototype and build AI applications quickly using its powerful onboard processing capabilities.

  • Educators and Students

    Great for teaching and learning AI and machine learning concepts through hands-on experience with real hardware.

  • Hobbyists

    Perfect for enthusiasts interested in robotics, AI projects, and home automation, thanks to its versatility and support.

Not Suitable For
  • Casual Users

    Not suitable for everyday consumers who seek simple plug-and-play solutions without needing extensive technical knowledge.

DESCRIPTION DU PRODUIT

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is the Jetson Nano Developer Kit?

    répondre: The Jetson Nano Developer Kit is an AI computer designed for developers to build and deploy AI applications. It features a powerful NVIDIA GPU and a quad-core ARM Cortex-A57 CPU, making it ideal for tasks such as image recognition, video processing, and real-time inference. Developers can leverage its capabilities to create projects in robotics, smart cameras, and intelligent IoT devices, facilitating rapid experimentation and prototyping.
  • question: What are the main features of the Jetson Nano 16G eMMC version?

    répondre: The Jetson Nano 16G eMMC version includes 16GB of onboard eMMC storage, providing ample space for AI applications and data. It has a 128-core GPU, enabling parallel processing for demanding AI tasks, and supports Ubuntu-based Linux operating systems. This model is tailored for applications that require extensive data storage versus models that rely solely on SD cards, enhancing performance for projects with larger datasets.
  • question: How can I use the Jetson Nano for AI machine learning projects?

    répondre: You can utilize the Jetson Nano for a variety of AI machine learning projects such as training neural networks, image segmentation, or deploying convolutional neural networks. By integrating TensorFlow or PyTorch, developers can rapidly prototype and test their models. The device’s power allows for applications like smart surveillance, autonomous navigation in robotics, or real-time analytics in various environments, making it a versatile tool for innovators.
  • question: What programming languages are supported by Jetson Nano?

    répondre: Jetson Nano supports multiple programming languages, including Python, C++, and Java. Python is particularly popular due to its rich libraries and frameworks for AI and ML, such as TensorFlow, PyTorch, and OpenCV. These options ensure versatility and accessibility for developers of varying skill levels, enabling them to implement a range of machine learning algorithms and deploy them effectively on the platform.
  • question: What peripherals can be connected to Jetson Nano?

    répondre: Jetson Nano supports a broad array of peripheral connections, including USB devices, GPIO pins, I2C, I2S, and SPI interfaces. This capacity allows users to connect cameras, sensors, displays, and more. For instance, developers might connect a high-resolution camera for image processing tasks or sensors for robotic applications, expanding the potential for innovative projects in smart homes, automation, and AI-driven applications.
  • question: What are the power requirements for the Jetson Nano?

    répondre: The Jetson Nano has a power requirement of 5V with a recommended 4A power supply. It can operate efficiently while consuming low power, making it suitable for battery-operated projects and embedded systems. This lightweight power draw allows for applications in remote robotics or wearable AI devices, where managing energy consumption is crucial for maintaining performance and functionality throughout operation.
  • question: Is it compatible with other NVIDIA software and tools?

    répondre: Yes, the Jetson Nano is fully compatible with NVIDIA’s software stack, including the JetPack SDK. This makes it easy to access libraries for deep learning, computer vision, and graphics processing. The integration ensures that developers can optimize performance for their specific AI applications while benefiting from NVIDIA's comprehensive support and community resources, fostering innovation and efficiency in their projects.
  • question: What projects can I build with the Jetson Nano?

    répondre: With the Jetson Nano, you can build various AI projects, such as facial recognition systems, smart security cameras, or autonomous robots. Additionally, you can create intelligent edge devices for IoT applications, enabling real-time data processing closer to the source. These applications illustrate the versatility of the Jetson Nano as a platform for students, researchers, and hobbyists aiming to explore the frontier of AI technology.
  • question: How does Jetson Nano perform in edge computing scenarios?

    répondre: The Jetson Nano excels in edge computing by processing data locally, which reduces latency and bandwidth usage. Its ability to run AI algorithms on-device allows for quicker decision-making, essential for applications like autonomous drones, smart factories, or real-time video analytics. This performance grants developers flexibility in designing solutions that require immediate data insights without relying heavily on cloud services.
  • question: Where can I buy the Jetson Nano Developer Kit 16G eMMC onboard?

    répondre: You can purchase the Jetson Nano Developer Kit 16G eMMC onboard from Ubuy in Mauritius. Ubuy provides a convenient platform for ordering this kit, ensuring you receive the product efficiently. With a robust selection of electronics, Ubuy is an excellent resource for acquiring NVIDIA Jetson tools and accessories for your AI and machine learning projects.

WayPonDEV Single Board Computers Jetson Nano 4GB SUB Kit Nano Editorial Review

Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning (4GB RAM 16GB eMMC) is a powerful device that integrates the Arm Cortex A57 processor. Users appreciate its flexibility and design tailored for various applications, with many noting its potential for high-end deployments if the right software is utilized. However, some reviews highlight issues with eMMC faults and limited customer support, warning potential buyers about its end-of-life status as of 2022, making it less favorable compared to newer development kits.

Avis et évaluations clients

19 évaluations des clients
  • 5 étoile
    46%
  • 4 étoile
    8%
  • 3 étoile
    8%
  • 2 étoile
    17%
  • 1 étoile
    21%

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Avantages

  • Solid board with excellent integration capabilities
  • Flexible design for multiple use cases
  • Powerful device for AI applications
  • Compatible with various external devices
  • Includes cooling fan for efficient performance

Les inconvénients

  • Limited support and upgrade options available

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

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Caractéristiques et avantages

  • 16G-eMMC memory can boot the board without a TF card
  • Can be powered by micro-USB and consumes as little as 5 watts
  • Supported by JetPack Software which includes BSP, Linux OS, N-VI-DI-A CUDA, cuDNN, and TensorRT software libraries
  • Easy to flash SD card image for fast and easy startup
  • JetPack SDK is fully compatible with the world-leading AI platform
  • In the Box: 1 x Jetson Nano Module with Cooling Fan and Reference Carrier Board

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