---
product_id: 547805003
title: "Seeed Studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers"
brand: "seeed studio"
price: "₪715"
currency: ILS
in_stock: true
reviews_count: 5
category: "Seeed Studio"
url: https://www.desertcart.co.il/products/547805003-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi
store_origin: IL
region: Israel
---

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

**Brand:** seeed studio
**Price:** ₪715
**Availability:** ✅ In Stock

## Summary

> 🚀 Accelerate your AI edge game—powerful, portable, and plug-and-play!

## Quick Answers

- **What is this?** Seeed Studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by seeed studio
- **How much does it cost?** ₪715 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/547805003-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi)

## 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

- • **Compact Powerhouse Design:** Small footprint with powerful Broadcom Edge TPU coprocessor—perfect for embedded and single-board projects.
- • **Edge AI Without the Cloud:** Run TensorFlow Lite models locally for instant, private, and offline machine learning.
- • **Blazing Fast ML Inferencing:** 4 trillion operations per second with ultra-low 2W power draw—speed meets efficiency.
- • **Custom Vision Models Made Easy:** Supports AutoML Vision Edge for rapid deployment of high-accuracy image classification at the edge.
- • **Plug & Play Universal Compatibility:** Seamlessly connects via USB 3.0 Type-C to Raspberry Pi, macOS, Windows, and Debian Linux systems.

## Overview

The Seeed Studio Coral USB Accelerator is a compact, high-performance Edge TPU coprocessor designed to turbocharge machine learning inferencing on embedded systems. Delivering 4 TOPS at just 2 watts, it enables ultra-fast, low-latency TensorFlow Lite model execution locally without cloud dependency. Compatible with Raspberry Pi, macOS, Windows, and Debian Linux, it supports AutoML Vision Edge for custom image classification models, making it the ultimate plug-and-play AI accelerator for professionals pushing the boundaries of edge computing.

## 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 |
|---------------|-------|
| ASIN | B0CDGT75SH |
| Best Sellers Rank | #38,703 in Computers ( See Top 100 in Computers ) #555 in Single-Board Computers |
| Brand | Seeed Studio |
| Built-In Media | / |
| CPU Model | Core i7 |
| CPU model | Core i7 |
| Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS |
| Connectivity Technology | USB 3.0 |
| Connectivity technology | USB 3.0 |
| Customer Reviews | 3.9 out of 5 stars 197 Reviews |
| Included components | / |
| Item Dimensions L x W x H | 13.9L x 10.1W x 3.3H centimeters |
| Manufacturer | Seeed Studio |
| Memory Storage Capacity | 16 KB |
| Memory storage capacity | 16 KB |
| Mfr Part Number | 114991790-FA |
| Model Name | Coral USB Accelerator |
| Model Number | 114991790-FA |
| Model name | Coral USB Accelerator |
| Operating System | Debian Linux, macOS, Windows 10 |
| Processor Brand | Broadcom |
| Processor Count | 1 |
| RAM Memory Technology | DDR4 |
| Total Usb Ports | 1 |

## Product Details

- **Brand:** Seeed Studio
- **Model name:** Coral USB Accelerator
- **Memory storage capacity:** 16 KB
- **Connectivity technology:** USB 3.0
- **Included components:** /

## Images

![Seeed Studio 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)
![Seeed Studio 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)
![Seeed Studio 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)
![Seeed Studio 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)
![Seeed Studio 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 Israel*
*Store origin: IL*
*Last updated: 2026-03-13*