---
product_id: 122574602
title: "Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing"
brand: "waveshare"
price: "€ 602.66"
currency: EUR
in_stock: true
reviews_count: 4
url: https://www.desertcart.pt/products/122574602-waveshare-jetson-nano-developer-kit-small-computer-for-ai-development
store_origin: PT
region: Portugal
---

# 472 GFLOPS AI compute power 4GB LPDDR4 memory for smooth multitasking 128-core NVIDIA GPU for parallel neural nets Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing

**Brand:** waveshare
**Price:** € 602.66
**Availability:** ✅ In Stock

## Summary

> 🤖 Unlock AI mastery with the Jetson Nano — where innovation meets speed!

## Quick Answers

- **What is this?** Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing by waveshare
- **How much does it cost?** € 602.66 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pt](https://www.desertcart.pt/products/122574602-waveshare-jetson-nano-developer-kit-small-computer-for-ai-development)

## Best For

- waveshare enthusiasts

## Why This Product

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

## Key Features

- • **Compact Yet Mighty:** Small form factor with quad-core 64-bit ARM CPU fits perfectly on your desk or lab.
- • **Blazing AI Performance:** 472 GFLOPS to power your most demanding neural networks with ease.
- • **Developer-Ready Ecosystem:** Comes with NVIDIA JetPack SDK for deep learning, computer vision, and GPU computing out of the box.
- • **Parallel Processing Powerhouse:** 128-core NVIDIA GPU lets you run multiple AI models simultaneously without lag.
- • **Seamless Framework Integration:** Supports TensorFlow, PyTorch, Keras & more for rapid AI development.

## Overview

The Waveshare Jetson Nano Developer Kit is a compact AI development board featuring a quad-core 64-bit ARM CPU, a powerful 128-core NVIDIA GPU, and 4GB LPDDR4 memory. Delivering 472 GFLOPS, it enables running multiple neural networks in parallel for tasks like image classification, object detection, and speech processing. Fully supported by NVIDIA JetPack SDK and compatible with popular AI frameworks, it’s designed for professional developers and AI enthusiasts aiming to accelerate their projects with cutting-edge hardware.

## Description

Buy

Review: Great for testing - The Jetson Nano as you see on Nvidia's website. Waveshare's customer service has been the best I have received from any company. They have reached out to me on every order to change over to the UK warehouse for Prime - this is my mistake. Because of this, I went direct to Waveshare's website and ordered some other parts we needed.
Review: Let the competition begin - Connected a 5V 4amp power source from an older SBC. Connected a 4cm fan to the beast heatsink, as gets toasty even without utilising the CUDA cores. Connected a RaspPi camera to the CSI port. Tried a bit of facial recognition following the Jetson Hacks tutorial on YT. The GPIO don't use the same RaspPi standard power delivery is different, so won't be using them as extra components are required. Intending to try various AI guides. Overall fun to play with.

## Features

- Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
- Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and eas

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B07QWLMR24 |
| Available Memory Slots | 1 |
| Best Sellers Rank | 207,293 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 778 in CPUs |
| Brand | Waveshare |
| Brand Name | Waveshare |
| CPU socket | Socket AM5 |
| Compatible Devices | Jetson Nano, Jetson Xavier NX |
| Compatible devices | Jetson Nano, Jetson Xavier NX |
| Customer Reviews | 4.2 out of 5 stars 67 Reviews |
| Graphics Card Interface | Integrated |
| Item Weight | 0.01 Kilograms |
| Main Power Connector Type | 24-Pin |
| Manufacturer | Waveshare |
| Memory Storage Capacity | 4 GB |
| Model Name | Jetson Nano |
| Model Number | Jetson Nano Developer Kit |
| Model name | Jetson Nano |
| Number of Ethernet Ports | 1 |
| Number of Ports | 4 |
| Platform | Linux |
| Processor Socket | Socket AM5 |
| RAM Memory Technology | LPDDR4 |
| RAM memory technology | LPDDR4 |
| Ram Memory Maximum Size | 4 GB |
| Total HDMI Port | 1 |
| Total USB Ports | 4 |
| UPC | 602860861526 614961954373 |
| USB 2.0 | 1 |

## Product Details

- **Brand:** Waveshare
- **CPU socket:** Socket AM5
- **Compatible devices:** Jetson Nano, Jetson Xavier NX
- **Graphics card interface:** Integrated
- **Main power connector type:** 24-Pin
- **Memory storage capacity:** 4 GB
- **Model name:** Jetson Nano
- **Platform:** Linux
- **RAM memory maximum size:** 4 GB
- **RAM memory technology:** LPDDR4

## Images

![Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing - Image 1](https://m.media-amazon.com/images/I/61ApIvQz0ZL.jpg)
![Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing - Image 2](https://m.media-amazon.com/images/I/61AxjARCjcL.jpg)
![Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing - Image 3](https://m.media-amazon.com/images/I/61RGZbZ-LAL.jpg)
![Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing - Image 4](https://m.media-amazon.com/images/I/61YKmBS0pBL.jpg)
![Waveshare Jetson Nano Developer Kit Small Computer for AI Development Run Multiple Neural Networks in Parallel for Image Classification Object Detection Segmentation Speech Processing - Image 5](https://m.media-amazon.com/images/I/61jZsgL-VWL.jpg)

## Questions & Answers

**Q: can this proccess Audio**
A: The Jetson Nano I bought runs a LINUX operating system. Various companies offer a special audio cards (hat and USB) you can for the Jetson Nano.

**Q: Does it come with a power supply or is it necessary to buy that separately?**
A: The official little green box of the NVidia Jetson Nano developer kit reads on its back: "Required to start the system (not included): Micro SD card, Micro USB Power Adaptor 5V 2A."  You can power the Jetson through the Micro USB power input using an appropriate power bank (battery). I used a fast charger I use for my Samsung mobile. There is also a 5V DC power input on board of the system.

**Q: Does this arm cpu supports aes encryption?**
A: Yes,it supports.

**Q: what version is this? I am trying to find a compatible case/ fan - it's not clear which are compatible! thanks...**
A: Hi this is the old version.
For the B01 version,please check the link: https://www.amazon.co.uk/gp/product/B085357THP/ref=ask_ql_qh_dp_hza?th=1
For the case you can choose this item which can both compatible for old and new verison. Here is the link: https://www.amazon.co.uk/dp/B086ZLTYLR?ref=myi_title_dp

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great for testing
*by F***N on 20 July 2023*

The Jetson Nano as you see on Nvidia's website. Waveshare's customer service has been the best I have received from any company. They have reached out to me on every order to change over to the UK warehouse for Prime - this is my mistake. Because of this, I went direct to Waveshare's website and ordered some other parts we needed.

### ⭐⭐⭐⭐⭐ Let the competition begin
*by C***S on 9 July 2019*

Connected a 5V 4amp power source from an older SBC. Connected a 4cm fan to the beast heatsink, as gets toasty even without utilising the CUDA cores. Connected a RaspPi camera to the CSI port. Tried a bit of facial recognition following the Jetson Hacks tutorial on YT. The GPIO don't use the same RaspPi standard power delivery is different, so won't be using them as extra components are required. Intending to try various AI guides. Overall fun to play with.

### ⭐⭐⭐⭐⭐ Simple to set up/good documentation
*by K***N on 14 July 2019*

Couple of tips: Go for a larger Micro SD, e.g. 32GB or more. Definitely get the 5v 4000mA PSU and don't muck about with trying to power it over the USB. Also recommend the (fairly expensive) metal case to protect it. Overall a great product - as you would expect from NVidia.

## Frequently Bought Together

- Nvidia Jetson Nano Development Kit (128 Cuda Cores, Cortex®-A57, 4 GB 64-Bit LPDDR4)
- SanDisk Ultra 64GB microSDXC UHS-I, 140MB/s R, Memory Card, 10 Y Warranty, for Smartphones
- PWM Cooling Fan for NVIDIA Jetson Nano Developer Kit DC 5V Strong Cooling Air Fan 40mm x 40mm x 20mm with Speed adjust 4 PIN Reverse-Proof Connector (40mmX40mmX20mm)

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*Product available on Desertcart Portugal*
*Store origin: PT*
*Last updated: 2026-02-02*