---
product_id: 468508397
title: "Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning (Heat Sink Version)"
brand: "waypondev"
price: "HK$2837"
currency: HKD
in_stock: true
reviews_count: 4
category: "Way Pon Dev"
url: https://www.desertcart.hk/products/468508397-jetson-nano-developer-kit-4gb-ldppr4-ram-16g-emmc-sub
store_origin: HK
region: Hong Kong
---

# 1.43 GHz ARM Quad-Core CPU 4GB LPDDR4 RAM + 16GB eMMC onboard storage Ultra low 5W power consumption Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning (Heat Sink Version)

**Brand:** waypondev
**Price:** HK$2837
**Availability:** ✅ In Stock

## Summary

> 🤖 Power your AI dreams with compact, efficient, and ready-to-go innovation!

## Quick Answers

- **What is this?** Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning (Heat Sink Version) by waypondev
- **How much does it cost?** HK$2837 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hk](https://www.desertcart.hk/products/468508397-jetson-nano-developer-kit-4gb-ldppr4-ram-16g-emmc-sub)

## Best For

- waypondev enthusiasts

## Why This Product

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

## Key Features

- • **Plug & Play Storage:** Boot instantly with 16GB eMMC—no TF card needed—plus expandable USB3.0 and TF card slots for seamless memory growth.
- • **AI-Ready Compute Power:** Harness a 1.43 GHz ARM quad-core CPU optimized for modern AI workloads, from image recognition to speech processing.
- • **Compact Heat-Sink Design:** Stay cool under pressure with an integrated heat sink in a sleek mini PC form factor, ideal for desktop or embedded AI projects.
- • **JetPack SDK Compatibility:** Leverage NVIDIA’s trusted JetPack SDK for streamlined AI software deployment and GPU-accelerated computing.
- • **Power-Efficient Innovation:** Run complex AI projects on a micro-USB powered platform consuming as little as 5 watts, perfect for sustainable development.

## Overview

The WayPonDEV Jetson Nano Developer Kit is a compact AI development platform featuring a 1.43 GHz ARM quad-core CPU, 4GB LPDDR4 RAM, and 16GB eMMC storage that boots without a TF card. Designed for low power consumption (as low as 5W), it supports NVIDIA’s JetPack SDK for AI, computer vision, and machine learning applications. Its heat sink version ensures reliable thermal management, making it a versatile mini PC for developers, learners, and makers focused on robotics and AI projects.

## Description

desertcart.com: WayPonDEV Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning (Heat Sink Version) : Electronics

Review: Tons of problem. A giant waste of time! - Tons of problems. A giant waste of time! Icould not find a REAL B01 from Nvidia, so I bought this one, a clone. It's a mistake! I am not a novice and can find my way around, but this product is totally hopeless! It only can use Ubuntu 18.04! I started out with Ubuntu 22.04, then 20.04, but had to go back all the way to 18.04 (had to buy 2 500GB SSD to do this! ) Then there is not enough storage on the eMMc to do anything! Can't get it to expand to the 512GB SD card I use! During all this struggle, the eMMc got corrupted and I spent tons of time trying to get inside the eMMc to debug/flash it! No luck! The Nvidia SDK cannot see the Nano board! Don't even try what I did. The vendor has zero support. All wiki/on line suggestions are worthless. I was lucky I could return it just before running out of time.
Review: Buy the name brand for this - Bought a Chinese knock off first and had problems. Must have some understanding of how to update to JetPack 6 to make this operate. So buy the NVIDA as there is good online documentation. No support given from the Chinese company.

## Features

- [Note] Jetson Nano 4GB SUB Kit Nano is a highly consistent developer kit based on official Jetson Nano 4GB CPU module, the only difference is that WayPonDEV Jetson Nano 4GB SUB Kit Nano comes with 16G-eMMC memory，which can boot the board without a TF card. And it also has a TF card slot, you can use USB3.0 U disk to expand the memory. This is the "Jetson Nano 4GB SUB Kit Nano", this is not the "Jetson Orin Nano Super Developer Kit" !
- [Run Modern AI workloads] The WayPonDEV Jetson Nano SUB Kit Nano delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
- The same JetPack SDK is used across the entire Jetson family of products and is fully compatible with world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
- [Low-Consumption] The Jetson Nano Sub Kit Nano developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.
- [JetPack Supported] Jetson Nano Sub Kit Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, N-VI-DI-A CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
- [Do Not Upgrade] Upgrading will cause some jetpack versions to be inconsistent, and the boot information on the eMMC may not match that on the sd card, resulting in errors or failure to boot the device. SUB Kit Nano also supports jetpack461, jetpack451, jetpack4.4, jetpack4.6 sdcard dtb.
- [Support Out of the box] The eMMC has built-in jetpack466 dtb; it supports out of the box. Please note: The current Jetson Nano 4GB Sub kit nano developer kit latest dtb is jetpack466, which is also the final version of the dtb it will work with. Jetson Nano 4GB sub developer kit also supports jetpack461, jetpack451, jetpack4.4, jetpack4.6 sdcard.
- [In the Box] 1 x Jetson Nano Module with Heat Sink;1xReference Carrier Board (SUB Kit Nano); 1x 5V-4A Power Supply. If you have any questions, technical support or instruction manuals, you can click ''WayPonDEV'' and ask a question or contact us by wpd#youyeetoo.com (#------>@).

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0B8DMPWJL |
| Best Sellers Rank | #3,248 in Single Board Computers (Computers & Accessories) |
| Brand | WayPonDEV |
| CPU Speed | 1.43 GHz |
| Compatible Devices | PCs |
| Connectivity Technology | Ethernet, GPIO, HDMI, USB |
| Customer Reviews | 2.8 out of 5 stars 7 Reviews |
| Item Dimensions L x W x H | 3.94"L x 3.15"W x 1.14"H |
| Item Height | 1.14 inches |
| Manufacturer | WayPonDEV |
| Memory Storage Capacity | 16 GB |
| Model Name | Jetson Nano 4GB Sub Kit Nano Developer Kit |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 4 |
| Processor Speed | 1.43 GHz |
| RAM Memory Installed | 4 GB |
| RAM Memory Technology | LPDDR4 |
| Ram Memory Installed Size | 4 GB |
| Total Usb Ports | 5 |
| Warranty Description | WayPonDEV Tech Return Policy:You may return any new computer purchased from Amazon.com that is "dead on arrival," arrives in damaged condition, or is still in unopened boxes, for the refund within 30 days of purchase. Amazon.com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition o… |
| Wireless Compability | 802.11b |

## Product Details

- **Brand:** WayPonDEV
- **CPU Speed:** 1.43 GHz
- **Memory Storage Capacity:** 16 GB
- **Model Name:** Jetson Nano 4GB Sub Kit Nano Developer Kit
- **Ram Memory Installed Size:** 4 GB

## Images

![Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning (Heat Sink Version) - Image 1](https://m.media-amazon.com/images/I/71Aav0GZEBL.jpg)

## Customer Reviews

### ⭐ Tons of problem. A giant waste of time!
*by L***I on April 25, 2025*

Tons of problems. A giant waste of time! Icould not find a REAL B01 from Nvidia, so I bought this one, a clone. It's a mistake! I am not a novice and can find my way around, but this product is totally hopeless! It only can use Ubuntu 18.04! I started out with Ubuntu 22.04, then 20.04, but had to go back all the way to 18.04 (had to buy 2 500GB SSD to do this! ) Then there is not enough storage on the eMMc to do anything! Can't get it to expand to the 512GB SD card I use! During all this struggle, the eMMc got corrupted and I spent tons of time trying to get inside the eMMc to debug/flash it! No luck! The Nvidia SDK cannot see the Nano board! Don't even try what I did. The vendor has zero support. All wiki/on line suggestions are worthless. I was lucky I could return it just before running out of time.

### ⭐⭐⭐⭐⭐ Buy the name brand for this
*by K***R on September 16, 2024*

Bought a Chinese knock off first and had problems. Must have some understanding of how to update to JetPack 6 to make this operate. So buy the NVIDA as there is good online documentation. No support given from the Chinese company.

### ⭐⭐⭐ It does have a problem when updating and also have the problem with booting from the SD card.
*by T***Z on January 27, 2025*

It does have a problem when updating and also have the problem with booting from the SD card. It doesn't have any clear instruction or manual inside. I first update the system and install some packages, but then it has problem after rebooting. I'm afraid the onboard eMMC storage/filesystem is corrupted. The suggested solution I googled says the eMMC should be reflashed. But the situation is I don't have Linux host available except for vm-linux. It doesn't look working. Now the booting gets stuck at somewhere around "Bridge firewalling registered". I tried to jump in bootloader stage to change the env variable, but it doesn't provide such the capability. The experience is so bad considering it's of Nvidia product. My initial feeling is Nvidia or this vendor doesn't consider the eMMC storage running-out situation and might go through some update during or after rebooting, then it causes the problem and cannot go back to previous good base point. Ted

## Frequently Bought Together

- Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning (Heat Sink Version)
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*Product available on Desertcart Hong Kong*
*Store origin: HK*
*Last updated: 2026-02-06*