---
product_id: 556175040
title: "seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers"
brand: "seeed studio"
price: "€ 272.89"
currency: EUR
in_stock: true
reviews_count: 6
category: "Seeed Studio"
url: https://www.desertcart.be/products/556175040-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi
store_origin: BE
region: Belgium
---

# 4 TOPS ultra-fast ML ops Cross-platform Debian/macOS/Win USB 3.0 Type-C plug & play seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers

**Brand:** seeed studio
**Price:** € 272.89
**Availability:** ✅ In Stock

## Summary

> 🚀 Turbocharge your AI edge with Coral USB Accelerator — speed, simplicity, and smarts in your pocket!

## Quick Answers

- **What is this?** seeed Studio Coral USB Accelerator Accelerator Coprocessor for Raspberry Pi and Other Single-Card Integrated Computers by seeed studio
- **How much does it cost?** € 272.89 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/556175040-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

- • **Cloud-Ready & Future-Proof:** Compatible with Google Cloud for scalable, hybrid AI workflows that keep you ahead in the AI race.
- • **Custom Vision Models at the Edge:** Leverage AutoML Vision Edge to build and deploy high-precision image classifiers locally, reducing latency and boosting privacy.
- • **Plug & Play USB 3.0 Connectivity:** Seamlessly integrates with Raspberry Pi, Windows, macOS, and Debian Linux systems via USB-C.
- • **Blazing Fast Edge TPU Performance:** 4 trillion operations per second with just 2 watts—power meets speed for next-gen ML.
- • **Effortless TensorFlow Lite Support:** Run pre-built models instantly—no need to start from scratch, accelerating your AI projects.

## Overview

The Seeed Studio Coral USB Accelerator is a compact, energy-efficient Edge TPU coprocessor delivering 4 TOPS of machine learning inference power at just 2 watts. It connects via USB 3.0 Type-C to major platforms including Raspberry Pi, Windows 10, macOS, and Debian Linux, enabling fast, local TensorFlow Lite model execution. Ideal for professionals seeking low-latency, privacy-conscious AI acceleration with easy deployment of custom vision models and seamless Google Cloud compatibility.

## Description

The integrated Edge TPU is a small Google-designed ASIC that speeds up TensorFlow Lite models in an energy-efficient manner: it is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power, that's 2 TOPS per watt. For example, an Edge TPU can run next-generation mobile viewing models, such as MobileNet v2 at nearly 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and eliminates the need for a constant internet connection. The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferences across a wide range of systems, simply by plugging it into a USB port. Performs high-speed ML inferences The integrated 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, you can run next-generation mobile vision models, such as MobileNet v2 at nearly 400 FPS, in an energy-efficient manner. See more performance benchmarks. Compatible with 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 scratch. TensorFlow Lite models can be compiled to run on Edge TPU.

Review: Perfect for frigate - Hard to get one now, works perfectly with proxmox inside lxc running frigate.
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.

## Features

- Performs high-speed ML inferences: high-speed TensorFlow Lite inference with low power, small footprint, local inferences
- 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 scratch. Tensorflow Lite models can be compiled to run on TPE edge
- Supports AutoML Vision Edge - Easily create and deploy fast, high-precision custom image classification models at the edge.
- Compatible with Google Cloud

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0CDGT75SH |
| Best Sellers Rank | 61,902 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,355 in Motherboards |
| Box Contents | / |
| Brand | seeed studio |
| Brand Name | seeed studio |
| CPU Model | Core i7 |
| CPU model | Core i7 |
| CPU speed | 4 GHz |
| Compatible Devices | Raspberry Pi, Intel Celeron J4125 powered X86 Windows/Linux mini PC, Linux systems, Windows 10, MacOS |
| Connectivity technology | USB 3.0 |
| Customer Reviews | 4.0 out of 5 stars 205 Reviews |
| Item Dimensions L x W x H | 13.9L x 10.1W x 3.3H centimetres |
| Manufacturer | seeed studio |
| Manufacturer Part Number | 114991790-FA |
| Memory Storage Capacity | 16 KB |
| Memory storage capacity | 16 KB |
| Model Name | Coral USB Accelerator |
| Model Number | 114991790-FA |
| Model name | Coral USB Accelerator |
| Network Connectivity Technology | USB 3.0 |
| Operating System | Debian Linux, macOS, Windows 10 |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 4 GHz |
| RAM Memory Technology | DDR4 |
| Smart Home Compatibility | Not Smart Home Compatible |
| Total USB Ports | 1 |
| Unit Count | 1.0 count |

## Product Details

- **Brand:** seeed studio
- **CPU model:** Core i7
- **CPU speed:** 4 GHz
- **Memory storage capacity:** 16 KB
- **Model name:** Coral USB Accelerator

## Images

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

## Customer Reviews

### ⭐⭐⭐⭐⭐ Perfect for frigate
*by M***L on 29 July 2025*

Hard to get one now, works perfectly with proxmox inside lxc running frigate.

### ⭐ 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.

### ⭐⭐⭐⭐⭐ Make sure you plug it in the right USB port!
*by R***T on 29 February 2024*

Arrive quite quickly. Plugged it in using supplied cable to USB port on back of a Topton fanless 4 port mini PC (n5105) and passed through USB port from Proxmox to Frigate docker container (running in Docker LXC). Set up camera (Reolink RL-810A) and checked Inference Speed of Coral TPU and it was not good at 29.3 ms. Checked USB port specifications of Topton mini-PC and remembered that the back USB ports are all just USB gen2. Both USB A type ports on front of the Topton are gen3 but both were already in use so plugged Coral cable into a USB-A to USB-C adapter and then plugged adapter into front USB-C port on Topton mini PC. Re-configured USB pass through from Proxmox to container and restarted. Inference Speed dropped to 9.2 ms - should have read the section on using fastest USB port! Added 3 more cameras (one more Reolink RL-810A, one Eufy 2K indoor and one Eufy 2k Pan and Tilt indoor). Inference Speed looks stable at about 8.9 ms (not as good as some reports in frigate forums but still good given Coral is passed through from Proxmox to Docker LXC then Frigate docker container inside that). Coral TPU has been working well for past week and false positives cut down markedly from Eufy cameras (mostly cat detection) compared to native camera app's 'pet' detection while notifications from Frigate NVR via Home Assistant to phone are a few seconds faster than the notifications from the native camera apps but not much in it. Person detection from Reolink itself seems on a par with frigate/coral however but Frigate + Coral is work well with Person, cat, dog, bicycle and motorbike objects while Reolink natively only has Person, Vehicle and Pet. Overall pleased with Coral unit (even though seems expensive) and very pleased with speed of dispatch as well as delivery time from Seeed Studio Store.

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*Product available on Desertcart Belgium*
*Store origin: BE*
*Last updated: 2026-07-23*