---
product_id: 648150369
title: "seeed studio Coral M.2 Accelerator with Dual Edge TPU"
brand: "seeed studio"
price: "€ 144.81"
currency: EUR
in_stock: true
reviews_count: 6
category: "Seeed Studio"
url: https://www.desertcart.pt/products/648150369-seeed-studio-coral-m-2-accelerator-with-dual-edge-tpu
store_origin: PT
region: Portugal
---

# 8 TOPS dual TPU power PCIe Gen2 x1 interface 2W power efficiency per TPU seeed studio Coral M.2 Accelerator with Dual Edge TPU

**Brand:** seeed studio
**Price:** € 144.81
**Availability:** ✅ In Stock

## Summary

> 🚀 Double the TPU, double the AI power — accelerate your edge computing like a pro!

## Quick Answers

- **What is this?** seeed studio Coral M.2 Accelerator with Dual Edge TPU by seeed studio
- **How much does it cost?** € 144.81 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/648150369-seeed-studio-coral-m-2-accelerator-with-dual-edge-tpu)

## 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

- • **TensorFlow Lite Ready:** Deploy cutting-edge ML models instantly without rebuilding from scratch.
- • **Seamless Compatibility:** Plug & play with Debian Linux and Windows 10 for effortless integration.
- • **Custom Vision Models Made Easy:** Leverage AutoML Vision Edge to create and run high-accuracy image classifiers on-device.
- • **Power-Efficient AI Acceleration:** Maximize performance with just 2 watts per TPU—sustain speed without the heat.
- • **Blazing Fast Dual TPU Performance:** Harness 8 trillion operations per second for lightning-quick ML inferencing.

## Overview

The Seeed Studio Coral M.2 Accelerator features dual Edge TPU coprocessors delivering a combined 8 TOPS of ML inferencing power at ultra-low 2W per TPU. Designed for PCIe Gen2 x1 slots, it supports Debian Linux and Windows 10, enabling seamless deployment of TensorFlow Lite and AutoML Vision Edge models. Ideal for professionals seeking high-speed, power-efficient on-device AI acceleration with minimal latency and enhanced data privacy.

## Description

The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module (E-key) that includes two Edge TPU ML accelerators, each with their own PCIe Gen2 x1 interface. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is 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. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs.

Review: Bit of a faff - Shoved this in my qnap to speed up the QuMagie AI. Works great shows up as 2 TPU's but had to buy a special multiplexing adapter to an m.2 slot and then also get a m.2 to pci slot card. But that's as much to do with the qnap as the card itself.
Review: not working at all

## Features

- Performs high-speed ML inferencing: Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. 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. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs.
- Works with Debian Linux and Windows: Integrates with Debian-based Linux or Windows 10 systems with a compatible card module slot.
- Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
- Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Description

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0CY231Q61 |
| Best Sellers Rank | 82,149 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 1,909 in Single-Board Computers & Accessories |
| Box Contents | M.2 module, heatsink, manual |
| Brand Name | seeed studio |
| CPU Model | MediaTek MT8125 |
| Compatible Devices | Devices with a compatible card module slot and support for Debian Linux or Windows 10 |
| Customer Reviews | 4.1 4.1 out of 5 stars (76) |
| Manufacturer | seeed studio |
| Manufacturer Part Number | 102110449-FA |
| Model Name | Acceleratore Coral M.2 con TPU Dual Edge |
| Model Number | Coral M.2 |
| Network Connectivity Technology | PCIe Gen2 x1 |
| Operating System | Debian Linux o Windows 10 |
| Processor Brand | ARM |
| Processor Count | 2 |
| RAM Memory Technology | DDR4 |
| Total USB Ports | 1 |
| Wireless Compability | Bluetooth |

## Product Details

- **Brand:** seeed studio
- **CPU model:** MediaTek MT8125
- **Connectivity technology:** PCIe Gen2 x1
- **Included components:** M.2 module, heatsink, manual
- **Model name:** Acceleratore Coral M.2 con TPU Dual Edge

## Images

![seeed studio Coral M.2 Accelerator with Dual Edge TPU - Image 1](https://m.media-amazon.com/images/I/61GAqi4CkaL.jpg)

## Available Options

This product comes in different **Size** options.

## Customer Reviews

### ⭐⭐⭐ Bit of a faff
*by J***G on 6 December 2024*

Shoved this in my qnap to speed up the QuMagie AI. Works great shows up as 2 TPU's but had to buy a special multiplexing adapter to an m.2 slot and then also get a m.2 to pci slot card. But that's as much to do with the qnap as the card itself.

### ⭐ Review
*by T***I on 13 October 2024*

not working at all

### ⭐⭐⭐⭐⭐ Review
*by G***. on 18 March 2026*

Works wonders!

## Frequently Bought Together

- Coral M.2 Accelerator with Dual Edge TPU …
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*Product available on Desertcart Portugal*
*Store origin: PT*
*Last updated: 2026-06-20*