---
product_id: 648150369
title: "seeed studio Coral M.2 Accelerator with Dual Edge TPU"
brand: "seeed studio"
price: "919 zł"
currency: PLN
in_stock: true
reviews_count: 6
category: "Seeed Studio"
url: https://www.desertcart.pl/products/648150369-seeed-studio-coral-m-2-accelerator-with-dual-edge-tpu
store_origin: PL
region: Poland
---

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

**Brand:** seeed studio
**Price:** 919 zł
**Availability:** ✅ In Stock

## Summary

> 🚀 Double the TPU, double the AI power—accelerate your edge computing game!

## Quick Answers

- **What is this?** seeed studio Coral M.2 Accelerator with Dual Edge TPU by seeed studio
- **How much does it cost?** 919 zł with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/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

- • **Power-Efficient Edge AI:** Maximize performance with just 2 watts per TPU—eco-smart and powerful.
- • **On-Device Privacy & Speed:** Eliminate cloud latency and keep your data secure with local inferencing.
- • **Cross-Platform Compatibility:** Plug & play with Debian Linux and Windows 10 systems.
- • **Blazing Fast Dual TPU Performance:** Harness 8 trillion ops/sec for lightning ML inferencing.
- • **Seamless TensorFlow Lite Integration:** Deploy cutting-edge models without rebuilding from scratch.

## Overview

The Seeed Studio Coral M.2 Accelerator features dual Edge TPU coprocessors delivering a combined 8 TOPS of ML inferencing power at just 4 watts total. Designed for seamless integration with Debian Linux and Windows 10 via PCIe Gen2 x1, it supports TensorFlow Lite and AutoML Vision Edge for rapid deployment of custom AI models. Ideal for professionals seeking ultra-fast, power-efficient, and privacy-focused edge AI acceleration.

## 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 | 105,546 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 4,186 in Single-Board Computers & Accessories |
| Guaranteed software updates until | unknown |
| Item model number | Coral M.2 |
| Manufacturer | seeed studio |
| Package Dimensions | 8.71 x 5.89 x 0.71 cm; 18 g |

## 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 C***R on 26 February 2026*

TPU détecté, mais pour ce qui est du contenu du colis, il n'y aura que le tpu en lui-même. Pas de dissipateur thermique, manuel d'utilisation comme promis dans la description! J'ai posé la question au vendeur, mais pas de retour! Cordialement.

## Frequently Bought Together

- Coral M.2 Accelerator with Dual Edge TPU …
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*Product available on Desertcart Poland*
*Store origin: PL*
*Last updated: 2026-03-13*