---
product_id: 159597533
title: "seeed studio USB Accelerator"
brand: "seeed studio"
price: "€ 0.72"
currency: EUR
in_stock: true
reviews_count: 4
url: https://www.desertcart.nl/products/159597533-seeed-studio-usb-accelerator
store_origin: NL
region: Netherlands
---

# High-speed inferencing Low power consumption Compact design seeed studio USB Accelerator

**Brand:** seeed studio
**Price:** € 0.72
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate Your Projects with AI Magic!

## Quick Answers

- **What is this?** seeed studio USB Accelerator by seeed studio
- **How much does it cost?** € 0.72 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.nl](https://www.desertcart.nl/products/159597533-seeed-studio-usb-accelerator)

## Best For

- seeed studio enthusiasts

## Why This Product

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

## Key Features

- • **Unleash AI Power:** Transform your Raspberry Pi into a machine learning powerhouse!
- • **Seamless Integration:** Effortlessly connects with existing systems for instant upgrades.
- • **TensorFlow Lite Ready:** Skip the hassle—run pre-built models without starting from scratch.
- • **Versatile Compatibility:** Supports MobileNet, Inception, and custom architectures for tailored solutions.
- • **Google-Backed Innovation:** Leverage cutting-edge technology from Coral, a Google division.

## Overview

The Seeed Studio USB Accelerator is a powerful Coral USB accessory designed to enhance machine learning capabilities on existing systems like Raspberry Pi and other Linux platforms. Featuring Google's Edge TPU, it delivers high-speed TensorFlow Lite inferencing with minimal power consumption, making it an ideal choice for developers looking to integrate AI into their projects effortlessly.

## Description

Full description not available

## Features

- Coral USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi (Pi2/3/4 Model B / B+) and other Linux systems.
- Featuring the Edge TPU — a small ASIC designed and built by Google— the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface.
- Edge TPU key benefits：High-speed TensorFlow Lite inferencing；Low power；Small footprint. Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.
- Supports TensorFlow lite：No need to build models from the ground up. Tensorflow Lite models can be compiled to run on USB Accelerator.
- Features: Fully supports MobileNet and Inception architectures though custom architectures are possible; Compatible with Google Cloud;

## Product Details

- **Brand:** seeed studio
- **Connector Type:** USB Type C
- **Cable Type:** USB
- **Compatible Devices:** PC
- **Recommended Uses For Product:** Machine Learning Applications, Connecting to Linux-based Devices (e.g., Raspberry Pi)

## Images

![seeed studio USB Accelerator - Image 1](https://m.media-amazon.com/images/I/51zm1FhwYML.jpg)
![seeed studio USB Accelerator - Image 2](https://m.media-amazon.com/images/I/51M1E-NYP2L.jpg)
![seeed studio USB Accelerator - Image 3](https://m.media-amazon.com/images/I/61LwQu3IS2L.jpg)
![seeed studio USB Accelerator - Image 4](https://m.media-amazon.com/images/I/61RVq2HKnOL.jpg)
![seeed studio USB Accelerator - Image 5](https://m.media-amazon.com/images/I/61xLJyZ9gfL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Easy to use and works well
*by B***B on February 15, 2020*

I got this to experiment with edge AI processing for a robotics project. Specific machine vision and voice command processing. Currently I'm using the Robot Operating System to handle vision (object tracking, facial recognition, etc.) and voice command processing on Linux.While this works it is a bit clunky even on a reasonably powerful desktop. Initial testing with the TPU provides much better processing of voice commands to control my robot head. And separate vision processing tests are also much smoother processing the video stream from the eye camera in the head.I plan on adding another TPU so one will process the voice commands and the other will handle the vision processing.And depending how how that goes I'll likely add another TPU for some additional machine learning related processing.The only "con" I've see so far is that the TPU does get pretty warm running at the default clock speed and very hot when running at full speed. So you want to make sure it is well cooled and not where you can accidentally touch it when running at full clock speed.

### ⭐⭐⭐⭐⭐ Perfectly
*by K***D on July 4, 2020*

Works well out of the box. Increased object detection FPS from 5 to 20-30. I followed edje electronics YouTube video on using it with a rpi 4.

### ⭐⭐⭐⭐ Powerful device
*by K***8 on August 20, 2020*

Good did a fantastic job to develop such a tiny chip to do deep learning inference for computer vision applications. I could implement a couple of models with Google Coral Accelerator and found that a useful and reliable device.

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**Shop now:** [https://www.desertcart.nl/products/159597533-seeed-studio-usb-accelerator](https://www.desertcart.nl/products/159597533-seeed-studio-usb-accelerator)

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*Product available on Desertcart Netherlands*
*Store origin: NL*
*Last updated: 2026-02-20*