---
product_id: 508857613
title: "Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board"
brand: "yahboom"
price: "₪1102"
currency: ILS
in_stock: true
url: https://www.desertcart.co.il/products/508857613-jetson-nano-b01-4gb-sub-development-kit-official-board-ai
store_origin: IL
region: Israel
---

# 5W ultra-low power consumption Extensive GPIO & CSI I/O support 1.5 TFLOPS AI computing power Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board

**Brand:** yahboom
**Price:** ₪1102
**Availability:** ✅ In Stock

## Summary

> 🤖 Power your AI dreams with Jetson Nano’s tiny titan tech!

## Quick Answers

- **What is this?** Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board by yahboom
- **How much does it cost?** ₪1102 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.il](https://www.desertcart.co.il/products/508857613-jetson-nano-b01-4gb-sub-development-kit-official-board-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

- • **Plug & Play AI Development:** Quick start with an easy-to-flash SD card image and full NVIDIA JetPack SDK compatibility, streamlining your AI deployment.
- • **Energy-Efficient Innovation:** Operate complex AI workloads at an ultra-low 5-watt power draw—ideal for sustainable, always-on projects.
- • **AI Powerhouse in a Compact Frame:** Run cutting-edge AI models with NVIDIA’s 1.5 TFLOPS Tegra processor, perfect for image classification, object detection, and speech processing.
- • **Versatile Connectivity for Makers:** Connect a wide range of sensors and peripherals via extensive GPIO and CSI ports to customize your robotics and AI applications.
- • **Future-Proof Learning with ROS Courses:** Access updated ROS1 & ROS2 programming courses and advanced image processing tutorials to stay ahead in AI robotics development.

## Overview

The Jetson Nano B01 4GB Developer Kit by Yahboom is a compact, energy-efficient AI development board powered by NVIDIA’s Tegra processor delivering 1.5 TFLOPS. It supports extensive I/O options and runs on Linux with NVIDIA JetPack SDK, enabling seamless AI and robotics programming. Ideal for professionals and makers, it includes updated ROS programming courses to accelerate learning and innovation.

## Description

Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board

## 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 |
|---------------|-------|
| Processor | 1.5E+3 Tegra |
| RAM | LPDDR4 |
| Wireless Type | 802.11b |
| Brand | Yahboom |
| Series | Jetson Nano |
| Operating System | Linux |
| Item Weight | 8.8 ounces |
| Package Dimensions | 7.95 x 5.35 x 1.77 inches |
| Color | Jetson Nano B01 Only |
| Processor Brand | NVIDIA |
| Number of Processors | 1 |
| Manufacturer | Yahboom |
| ASIN | B0BNQDV3FR |
| Date First Available | December 1, 2022 |

## Product Details

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

## Images

![Jetson Nano B01 4GB SUB Development Kit Official Board for AI and Robotics Yahboom Provide ROS and AI Programming Courses Separate Board - Image 1](https://m.media-amazon.com/images/I/71FdYX6iIZL.jpg)

## Available Options

This product comes in different **Color** options.

## 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.

## 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 Israel*
*Store origin: IL*
*Last updated: 2026-02-06*