---
product_id: 551233067
title: "Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom"
brand: "yahboom"
price: "88908 som"
currency: KGS
in_stock: true
reviews_count: 1
category: "Yahboom"
url: https://www.desertcart.kg/products/551233067-jetson-nano-b01-4gb-development-kit-official-board-for-ai
store_origin: KG
region: Kyrgyzstan
---

# 5W ultra-low power Micro USB & GPIO/CSI I/O 4GB LPDDR4 RAM for AI Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom

**Brand:** yahboom
**Price:** 88908 som
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your AI ambitions with Jetson Nano — where innovation meets efficiency!

## Quick Answers

- **What is this?** Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom by yahboom
- **How much does it cost?** 88908 som with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.kg](https://www.desertcart.kg/products/551233067-jetson-nano-b01-4gb-development-kit-official-board-for-ai)

## Best For

- yahboom enthusiasts

## Why This Product

- Trusted yahboom brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Energy-Smart Design:** Consumes as little as 5 watts, perfect for sustainable AI projects without compromising performance.
- • **Compact AI Powerhouse:** Harness NVIDIA Tegra’s 1.5 GHz CPU to run cutting-edge AI models in a sleek, energy-efficient form factor.
- • **Plug & Play Versatility:** Extensive GPIO, CSI, and USB ports let you seamlessly connect sensors and peripherals for rapid prototyping.
- • **Beginner-Friendly ROS Support:** Updated ROS1 & ROS2 resources and Docker support make robotics programming accessible and scalable.
- • **Developer-Ready Software Stack:** Preloaded with NVIDIA JetPack SDK including CUDA, cuDNN, and TensorRT for accelerated AI and computer vision workflows.

## Overview

The Jetson Nano B01 4GB Development Kit by Yahboom is a compact, energy-efficient AI development board powered by NVIDIA’s Tegra processor. It features 4GB LPDDR4 RAM, multiple I/O options including GPIO and CSI, and supports NVIDIA’s JetPack SDK for seamless AI and robotics development. Ideal for professionals and makers aiming to prototype AI applications with low power consumption and robust software support.

## Description

The Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts. Jetson Nano is also supported by NVIDI-A JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy. The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA's world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort. 【ROS advanced development materials updated】Provide ROS1 image processing, docker, ROS2 advanced courses,ROS2 visual processingand other content updates have been completed to help beginners learn ROS programming.

Review: Disappointing Experience - Not Worth the Hype - I purchased the Jetson Nano B01 4GB Development Kit for AI and robotics development, expecting high performance and reliability based on the product description. Unfortunately, my experience has been far from satisfactory. Here are the major issues I encountered: Performance Issues: The board often lags, especially when running resource-intensive AI models, making it unsuitable for real-time applications. Poor Documentation: The provided documentation is incomplete and difficult to follow, causing delays in setting up and troubleshooting. Overheating Problems: The board heats up quickly, even under moderate workloads, which raises concerns about long-term durability. Unreliable Support: Customer support has been unresponsive, leaving me to figure out solutions on my own. Value for Money: Considering the price, the overall performance and build quality are disappointing. I wouldn't recommend this product unless significant improvements are made to its performance, documentation, and support.

## Features

- The Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.
- The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.
- Jetson Nano is also supported by NVIDI-A JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.
- The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA's world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort.
- 【ROS advanced development materials updated】Provide ROS1 image processing, docker, ROS2 advanced courses,ROS2 visual processingand other content updates have been completed to help beginners learn ROS programming.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0BNQDV3FR |
| Best Sellers Rank | #57,927 in Industrial & Scientific ( See Top 100 in Industrial & Scientific ) #2,538 in Robotic Kits & Accessories |
| Brand | Yahboom |
| Brand Name | Yahboom |
| CPU Model | Tegra |
| CPU Speed | 1.5E+3 MHz |
| Compatible Devices | Personal Computer, Smartphone, Camera, Microcontroller, Sensor |
| Customer Reviews | 3.7 out of 5 stars 8 Reviews |
| Manufacturer Part Number | gm-Jetson Nano B01 |
| Memory Storage Capacity | 4 GB |
| Model Name | Jetson Nano |
| Network Connectivity Technology | GPIO, CSI, USB |
| Operating System | Linux |
| Processor Brand | NVIDIA |
| Processor Count | 1 |
| Processor Speed | 1.5E+3 MHz |
| RAM Memory Installed | 4 GB |
| RAM Memory Installed Size | 4 GB |
| RAM Memory Technology | LPDDR4 |
| Total USB Ports | 1 |
| Unit Count | 1 Count |
| Wireless Compability | 802.11b |

## Product Details

- **Brand:** Yahboom
- **CPU Model:** Tegra
- **Memory Storage Capacity:** 4 GB
- **Model Name:** Jetson Nano
- **RAM Memory Installed Size:** 4 GB

## Images

![Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom - Image 1](https://m.media-amazon.com/images/I/71FdYX6iIZL.jpg)
![Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom - Image 2](https://m.media-amazon.com/images/I/61wh0iqqhdL.jpg)
![Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom - Image 3](https://m.media-amazon.com/images/I/71K5enLx5dL.jpg)
![Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom - Image 4](https://m.media-amazon.com/images/I/61FCmX9VF2L.jpg)
![Jetson Nano B01 4GB Development Kit Official Board for AI and Robotics Yahboom - Image 5](https://m.media-amazon.com/images/I/71phBUrjUpL.jpg)

## Questions & Answers

**Q: How do I fix the NVIDI-A logo looping on the screen after booting?**
A: Re-burn using the SDK manager. See the tutorial web 3.2. Write EMMC system.

**Q: What's the difference between this and the NVIDI-A Jetson Nano B01 kit?**
A: The Jetson Nano SUB is developed and manufactured by Yahboom. The official kit only supports booting from a TF card, while the SUB supports booting from a TF card or USB flash drive and comes with a 16GB eMMC card for higher performance.

## Customer Reviews

### ⭐ Disappointing Experience - Not Worth the Hype
*by O***H on 24 November 2024*

I purchased the Jetson Nano B01 4GB Development Kit for AI and robotics development, expecting high performance and reliability based on the product description. Unfortunately, my experience has been far from satisfactory. Here are the major issues I encountered: Performance Issues: The board often lags, especially when running resource-intensive AI models, making it unsuitable for real-time applications. Poor Documentation: The provided documentation is incomplete and difficult to follow, causing delays in setting up and troubleshooting. Overheating Problems: The board heats up quickly, even under moderate workloads, which raises concerns about long-term durability. Unreliable Support: Customer support has been unresponsive, leaving me to figure out solutions on my own. Value for Money: Considering the price, the overall performance and build quality are disappointing. I wouldn't recommend this product unless significant improvements are made to its performance, documentation, and support.

## Frequently Bought Together

- Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board
- Waveshare AC8265 Wireless NIC Module for Jetson Orin Nano/NX Supports 2.4GHz / 5GHz Dual Band WiFi and Bluetoth 4.2
- Jetson Nano Developer Kit 16G eMMC onboard for AI Machine Learning

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*Product available on Desertcart Kyrgyzstan*
*Store origin: KG*
*Last updated: 2026-05-11*