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- Yahboom Jetson Nano Developer Kit Nano B01 wi...
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Nº de artículo:
47131433
Yahboom Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
Nº de artículo:
47131433
HNL 7860
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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
Comprehensive Kit
Includes essential components like the Jetson Nano 4GB Core Module and 16G eMMC, streamlining development for AI applications and robotics enthusiasts.
Superior Performance
Equipped with NVIDIA's advanced architecture, offering cutting-edge performance for real-time AI processing, enabling efficient development and execution of complex machine learning tasks.
User-Friendly Design
Designed for ease of use, this kit supports quick setup and extensive resources for beginners and experts alike, fostering innovation and creativity in AI projects.
Detalles de producto
- 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 |
| Connectivity Technology | USB |
| Operating System | NVIDIA |
| Processor Brand | NVIDIA |
| Wireless Compability | IrDA |
| Compatible Devices | Cameras, USB devices, GPIO-compatible sensors, CSI-compatible devices, microphones, speakers, keyboards, mice |
| RAM Memory Technology | DDR4 |
| Processor Count | 4 |
| Total Usb Ports | 4 |
| Item Dimensions L x W x H | 3.94"L x 3.15"W x 1.14"H (10 x 8 x 2.9 cm) |
| Brand | Yahboom |
| Model Name | 4GB B01 |
| Built-In Media | CD |
| Model Number | Jetson Nano 4GB SUB Development Board |
| Manufacturer | Yahboom |
| Unit Count | 1.0 Count |
| Ram Memory Installed Size | 4 GB |
Who Should Buy?
-
AI Enthusiasts
Perfect for hobbyists interested in artificial intelligence development, allowing experimentation with neural networks and machine learning.
-
Robotics Developers
Ideal for developers creating robotic solutions, providing necessary processing power and GPU capabilities for complex tasks.
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Education Purposes
Great for students and educators looking to explore programmable hardware and AI concepts in practical, hands-on ways.
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Casual Users
Not suitable for average users looking for basic computing or entertainment functionalities, as it targets developers.
DESCRIPCIÓN DEL PRODUCTO
Yahboom Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
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Preguntas y respuestas de los clientes
-
Pregunta:
What is the difference between Yahboom Jetson Nano and official Jetson Nano?
Respuesta: 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. -
Pregunta:
What are the AI applications it can perform?
Respuesta: It can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. -
Pregunta:
What is the power consumption of the developer kit?
Respuesta: It is incredibly power-efficient, consuming as little as 5 watts and can be powered by micro-USB.
Yahboom Single Board Computers Jetson Nano 4GB SUB Development Board Editorial Review
The Yahboom Jetson Nano 4GB SUB Developer Kit appears to have mixed reception amongst customers. On one hand, a reviewer found it easy to set up and praised its seamless combination with the Yahboom robot. Another reviewer appreciated its accessibility for real-time computer vision, optimisation for hardware work and outstanding customer support. Alternatively, some customers found the board difficult to use with complaints about pickiness, compatibility issues and the inability to boot or update from a usb drive. Additionally, the cardboard box contents and lack of proper documentation was Considered disappointing.
Customer Reviews & Ratings
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ventajas
- Accessibility for real-time computer vision
- Outstanding customer support
- Compatible with the existing Nano accessories
- Snug fit for case, no modifications needed
- Combines seamlessly with Yahboom robot
Contras
- Picky compatibility with cameras
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
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características y beneficios
- 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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