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- Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
79% of respondents would recommend this to a friend
€ 447
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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
Detalji o proizvodu
- 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
| RAM Memory Installed | 4 GB |
| Memory Storage Capacity | 4 GB |
| CPU Model | Tegra |
| Network Connectivity Technology | USB |
| Operating System | NVIDIA |
| Processor Brand | NVIDIA |
| Wireless Compability | IrDA |
| Compatible Devices | Camera, Personal Computer, Microcontroller |
| RAM Memory Technology | DDR4 |
| Processor Count | 4 |
| Total USB Ports | 4 |
| Brand Name | Yahboom |
| Model Name | 4GB B01 |
| Box Contents | CD |
| Number of Items | 1 |
| Unit Count | 1.0 count |
| Country of Origin | China |
| Manufacturer | Yahboom |
| Model Number | Jetson Nano 4GB SUB Development Board |
| Brand | Yahboom |
| RAM memory installed size | 4 GB |
| Item Weight | 3 lbs (1.36 kg) |
Who Should Buy?
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AI Enthusiasts
Perfect for hobbyists eager to explore AI projects and machine learning applications on an affordable, compact platform.
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Developers
Ideal for software developers looking to prototype and test AI algorithms and applications using NVIDIA's powerful architecture.
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Educational Use
Great for universities and educational institutions implementing hands-on learning for students in robotics and AI technologies.
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Gaming Users
Not suitable for high-performance gaming needs as it is designed primarily for AI and embedded applications.
OPIS PROIZVODA
Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
Pitanja i odgovori kupaca
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pitanje:
Kako kupovati Jetson Nano Developer Kit Nano B01 with 16G-eMMC online od Ubuya?
odgovor: Jednostavno je kupovati Jetson Nano Developer Kit Nano B01 with 16G-eMMC online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju. -
pitanje:
Je li Jetson Nano Developer Kit Nano B01 with 16G-eMMC dostupan za online kupnju u Croatia?
odgovor: Da, na Ubuyu Croatia ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Jetson Nano Developer Kit Nano B01 with 16G-eMMC nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave. -
pitanje:
Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?
odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.
Yahboom Single-Board Computers & Accessories Jetson Nano 4GB SUB Development Board Editorial Review
Jetson Nano Developer Kit Nano B01 With 16G-eMMC Based On Official N-VI-Dia Jetson Nano 4GB Core Module is a compact powerhouse featuring a 4GB RAM and NVIDIA Tegra CPU, making it an ideal choice for developers looking to create AI applications. This kit is particularly compatible with various devices including cameras and personal computers, allowing for versatile project utilization. Users have praised its performance in delivering efficient processing capabilities for smaller AI-driven projects. With a strong connectivity options via USB and a lightweight design, it's perfect for both novice and experienced developers looking to bring their innovative concepts to life.
Customer Reviews & Ratings
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5 zvjezdica
100%
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4 zvjezdica
0%
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3 zvjezdica
0%
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2 zvjezdica
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1 zvjezdica
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Pros
- Compact design enhances portability for developers
- Suitable for AI projects and machine learning experiments
- Strong compatibility with cameras and microcontrollers
- Efficient performance with NVIDIA Tegra CPU
- 4 USB ports for extensive connectivity
Protiv
- May require additional peripherals for optimal use
Product Price History
Važne informacije
- Ograničenja: imajte na umu da jamstvo možda ne vrijedi za proizvode koji se dostavljaju u inozemstvo; servis možda neće biti dostupan; priručnici proizvoda, upute i sigurnosna upozorenja možda nisu na jeziku zemlje odredišta; proizvodi (i prateći materijali) možda nisu u skladu sa standardima, specifikacijama i zahtjevima za označavanje zemlje odredišta; proizvod možda nije usklađen s naponom struje i drugim električnim standardima (zbog čega će možda trebati adapter ili pretvarač). Primatelj je odgovoran za provjeru može li proizvod prema važećim zakonima biti uvezen u zemlju odredišta. Kad naručujete od Ubuya ili njegovih partnera, primatelj se smatra registriranim uvoznikom i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Svi proizvodi navedeni na Ubuyu nisu za prodaju, jer je Ubuy globalna tražilica. Proizvodi podliježu propisima o izvozu i trgovini.
€ 447
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Značajke i prednosti
- 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.
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