---
product_id: 560859253
title: "Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers"
brand: "seeed studio"
price: "45886 som"
currency: KGS
in_stock: true
reviews_count: 5
category: "Seeed Studio"
url: https://www.desertcart.kg/products/560859253-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi-and-other
store_origin: KG
region: Kyrgyzstan
---

# 4 TOPS inferencing power USB 3.0 Type-C plug & play TensorFlow Lite & AutoML Edge support Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

**Brand:** seeed studio
**Price:** 45886 som
**Availability:** ✅ In Stock

## Summary

> 🚀 Supercharge your AI edge game with Coral USB Accelerator!

## Quick Answers

- **What is this?** Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by seeed studio
- **How much does it cost?** 45886 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/560859253-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi-and-other)

## 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

- • **Edge TPU-Powered Privacy:** Run TensorFlow Lite models locally to slash latency, enhance data privacy, and ditch constant cloud dependency.
- • **Custom AI Models Made Easy:** Leverage AutoML Vision Edge to build and deploy high-accuracy custom image classifiers without deep ML expertise.
- • **Blazing Fast ML Inferencing:** Harness 4 trillion operations per second with ultra-low 2W power consumption for lightning-speed AI at the edge.
- • **Compact & Lightweight Design:** At just 100g and pocket-sized, this accelerator fits effortlessly into your embedded projects and mobile setups.
- • **Universal Platform Compatibility:** Seamlessly plug into Raspberry Pi, macOS, Windows 10, or Debian Linux systems via USB 3.0 Type-C—no hassle, just instant AI boost.

## Overview

The seeed studio Coral USB Accelerator is a compact, USB 3.0 Type-C coprocessor featuring Google's Edge TPU ASIC, delivering 4 TOPS of high-speed, power-efficient machine learning inferencing. Compatible with Raspberry Pi, macOS, Windows 10, and Debian Linux, it supports TensorFlow Lite and AutoML Vision Edge for easy deployment of custom AI models locally, reducing latency and enhancing privacy without cloud reliance.

## Description

The on-board Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power-efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port. Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. See more performance benchmarks. Supports all major platforms Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.

Review: Ninguna de las dos unidades que he comprado funcionan - Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos.
Review: Love this for AI Cameras

## Features

- Performs high-speed ML inferencing: High-speed TensorFlow Lite inferencing with low power, small footprint, local inferencing
- Supports all major platforms: Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10
- Supports TensorFlow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE
- Supports AutoML Vision Edge: easily build and deploy fast, high-accuracy custom image classification models at the edge.
- Compatible with Google Cloud

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Brand | seeed studio |
| Manufacturer | seeed studio |
| Model Name | Coral USB Accelerator |
| Product Dimensions | 5 x 5 x 10.01 cm; 100 g |
| Item part number | 114991790-FA |
| Memory Storage Capacity | 16 KB |
| Ram Memory Technology | DDR4 |
| Operating System | Debian Linux, macOS, Windows 10 |
| Processor Brand | ARM |
| Processor Speed | 4400 MHz |
| Processor Count | 1 |
| Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS |
| Mounting Hardware | / |
| Number of items | 1 |
| Batteries Required | No |
| Total USB ports | 1 |
| Connector Type | USB |
| Manufacturer | seeed studio |
| Country of Origin | USA |
| Item Weight | 100 g |

## Product Details

- **Brand:** seeed studio
- **Model Name:** Coral USB Accelerator
- **Memory Storage Capacity:** 16 KB
- **CPU Speed:** 4400 MHz
- **Connectivity Technology:** USB

## Images

![Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 1](https://m.media-amazon.com/images/I/41ahuMC2x2L.jpg)
![Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 2](https://m.media-amazon.com/images/I/51JF1JMOR5L.jpg)
![Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 3](https://m.media-amazon.com/images/I/51W1nAX11GL.jpg)
![Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 4](https://m.media-amazon.com/images/I/51HBdC7gN2L.jpg)
![Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 5](https://m.media-amazon.com/images/I/51HNfNjUFHL.jpg)

## Customer Reviews

### ⭐ Ninguna de las dos unidades que he comprado funcionan
*by R***K on 7 May 2025*

Dos unidades he pedido, las dos vienen muertas, ni se enciende el led al conectarlo al usb ni lo reconoce ninguno de los 3 pcs en los que he probado, tanto windows como Linux. No se cual es el problema porque ambos venian precintados pero no funcionan. Devueltos.

### ⭐⭐⭐⭐⭐ Love this for AI Cameras
*by R***N on 12 April 2024*



### ⭐⭐⭐⭐⭐ Muito portátil e eficaz.
*by M***A on 14 July 2025*

Produto excelente. Usando o Frigate em meu MiniPC i5, antes do Coral ficava com 85% de consumo de CPU. Com o Coral, caiu para 25~30% de consumo. Recomendo bastante aos que usam Frigate.

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*Product available on Desertcart Kyrgyzstan*
*Store origin: KG*
*Last updated: 2026-05-18*