Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
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Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
зүйлийн дугаар: 174357393

Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module

зүйлийн дугаар: 174357393

MNT 2817448

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Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Баасан гараг, 7 дугаар сар 24
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The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out

High Performance
Delivers powerful AI processing capabilities with a 4GB memory, perfect for developing rich AI applications, machine learning models, and robotics projects.
Robust Ecosystem
Supports an extensive selection of software tools and libraries, simplifying development for beginners and experts, enhancing productivity and enabling rapid prototyping.
Compact Design
The small form factor allows easy integration into projects, making it ideal for equipment designs where space is at a premium without sacrificing performance.

Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл

Shop Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module online at a best price in Mongolia. B09T37PPRF
  • Yahboom Jetson Nano 4GB SUB Developer Kit is a consistent alternative to the official Jetson Nano 4GB core module
  • The SUB motherboard comes with 16G-eMMC memory, eliminating the need for a separate TF card
  • The developer kit delivers high compute performance for running AI workloads like image classification, object detection, and speech processing
  • Powered by micro-USB, it features extensive I/Os from GPIO to CSI for connecting new sensors and enabling various AI applications
  • Supported by JetPack, including Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning and computer vision
  • Please note that the SUB does not have an SD card slot, and memory expansion is possible only through a U disk
Item Weight3 lbs (1.36 kg)

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Perfect for hobbyists eager to explore AI projects and machine learning applications on an affordable, compact platform.

  • Developers

    Ideal for software developers looking to prototype and test AI algorithms and applications using NVIDIA's powerful architecture.

  • Educational Use

    Great for universities and educational institutions implementing hands-on learning for students in robotics and AI technologies.

Not Suitable For
  • Gaming Users

    Not suitable for high-performance gaming needs as it is designed primarily for AI and embedded applications.

  • Basic Computing

    Inadequate for general computing tasks like web browsing or standard office work, designed specifically for specialized applications.

  • Casual Users

    Not ideal for casual users looking for plug-and-play devices; requires programming knowledge to utilize effectively.

БАРААНЫ ТАЙЛБАР

Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module

Асуулга байна уу? Бидэнтэй чатлаарай

Хэрэглэгчийн асуулт ба хариултууд

  • Асуулт: What is the difference between Yahboom Jetson Nano and official Jetson Nano?

    Хариулт: Yahboom Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory and does not have an SD card slot.
  • Асуулт: What are the AI applications it can perform?

    Хариулт: It can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
  • Асуулт: What is the power consumption of the developer kit?

    Хариулт: It is incredibly power-efficient, consuming as little as 5 watts and can be powered by micro-USB.

Yahboom Single-Board Computers & Accessories Editorial Review

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Customer Reviews & Ratings

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Product Price History

Чухал мэдээлэл

  • Хязгаарлалт : Олон улсын хүргэлтээр илгээгдсэн барааны тохиолдолд, үйлдвэрлэгчийн баталгаа хүчингүй байх, үйлдвэрлэгчийн үйлчилгээ хүргэх боломжгүй, барааны заавар, гарын авлага болон анхааруулга очих улсын хэлдээр биш байх магадлалтай гэдгийг анхаарна уу. Мөн бараа болон дагалдах хэрэгсэл нь тухайн улсын стандартыг мөрдөөгүй, чанарын заалт болон шошгын шаардлагыг хангаагүй байх магадлалтай бөгөөд, тухайн улсын цахилгааны вольтод тохирохгүй байж болзошгүй (тохирох адаптер болон хувиргагч шаардлагатай) юм. Хүлээн авагч нь барааг тухайн улс уруу хуулийн дагуу импортлогдохыг батлах ёстой. Ubuy болон түүний холбоот түншүүдээс худалдан авсан тохиолдолд худалдан авагч нь хүлээн авах улсын бүх хууль болон заалтуудыг мөрдөх ёстой.
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MNT 2817448

Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Баасан гараг, 7 дугаар сар 24

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

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Fastest cross-border delivery

Онцлог & Давуу талууд

  • Yahboom Jetson Nano Developer Kit Nano B01 is a perfect alternative to official Jetson nano 4GB core module
  • It includes 16G-eMMC memory and can expand the USB3.0 U disk
  • It can run AI frameworks and models for image classification, object detection, segmentation, and speech processing
  • It is power-efficient, consuming as little as 5 watts and can be powered by micro-USB
  • The kit comes with extensive I/Os, ranging from GPIO to CSI
  • Jetson Nano is supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries.