---
product_id: 529380773
title: "Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface"
brand: "google coral"
price: "1357 DH"
currency: MAD
in_stock: true
reviews_count: 4
category: "Google Coral"
url: https://www.desertcart.ma/products/529380773-google-coral-system-on-modules-som-edge-tpu-ml-compute
store_origin: MA
region: Morocco
---

# 4 TOPS peak ML power M.2 A+E key plug & play -20°C to +85°C industrial grade Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface

**Brand:** google coral
**Price:** 1357 DH
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your edge AI with Google Coral’s unstoppable M.2 accelerator!

## Quick Answers

- **What is this?** Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface by google coral
- **How much does it cost?** 1357 DH with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ma](https://www.desertcart.ma/products/529380773-google-coral-system-on-modules-som-edge-tpu-ml-compute)

## Best For

- google coral enthusiasts

## Why This Product

- Trusted google coral brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Cross-Platform OS Support:** Works smoothly on Linux (Debian/Ubuntu) and Windows 10 (64-bit) for versatile deployment.
- • **Blazing 4 TOPS Performance:** Unleash lightning-fast ML inference with Google Edge TPU integration.
- • **Robust Industrial Reliability:** Operates flawlessly from freezing cold to scorching heat (-20°C to +85°C).
- • **Power-Efficient Edge Computing:** Delivers 2 TOPS per watt for sustainable, embedded AI applications.
- • **Seamless M.2 A+E Key Compatibility:** Plug into legacy or new systems effortlessly—no hassle, just power.

## Overview

The Google Coral M.2 Accelerator A+E Key is a compact, high-performance machine learning module featuring the Edge TPU processor. It delivers up to 4 TOPS of int8 inference power while maintaining energy efficiency at 2 TOPS per watt. Designed for easy integration via the M.2 A+E key interface, it supports major operating systems including Linux and Windows 10. Built for industrial environments, it operates reliably across a wide temperature range (-20°C to +85°C), making it ideal for embedded AI applications in both legacy and modern systems.

## Description

I have revised the product description in accordance with desertcart's style guide, ensuring no use of HTML, JavaScript, or other code, and only using simple formatting such as line breaks. Below is the revised description: Coral M.2 Accelerator A+E Key is a high-performance machine learning accelerator that integrates the Google Edge TPU, delivering 4 TOPS (int8) peak performance, ideal for embedded and energy-efficient applications. - Compatibility: Supports M.2 A+E key interface for easy integration into existing systems. - Low Power Design: Provides 2 TOPS per watt, making it suitable for power-sensitive environments. - OS Support: Compatible with Linux (Debian 10/Ubuntu 16.04+) and Windows 10 (64-bit). - Industrial Reliability: Operating temperature range of -20°C to +85°C, designed for harsh environments.

Review: Used for a Frigate project. Seemed to plug in with no issues.
Review: Installed this in place of a Wifi adapter in a N100 based NAS from china. need to use an old linux Ubuntu 22.04 works as Google refuses to update the drivers for this. Followed the documentation on googles coral.ai website to install the drivers, then followed Frigate's integration steps and it works first time. Went from 280% processor load to 20% for 8 1080p cameras.

## Features

- High-Performance ML Accelerator: Integrates Google Edge TPU, delivering 4 TOPS (int8) peak performance for machine learning inference tasks.
- Strong Compatibility: Supports M.2 A+E key interface for easy integration into existing systems.
- Low Power Design: Provides 2 TOPS per watt, ideal for embedded and energy-efficient applications.
- Wide OS Support: Compatible with Linux (Debian 10/Ubuntu 16.04+) and Windows 10 (64-bit).
- Industrial-Grade Reliability: Operating temperature range of -20°C to +85°C, suitable for harsh environments.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0844RJNR2 |
| Batteries Included | No |
| Batteries Required | No |
| Best Sellers Rank | #68,973 in Electronics ( See Top 100 in Electronics ) #1,360 in Components |
| Brand | Google Coral |
| Compatible Devices | Laptops and desktops with M.2 (A+E key) slot |
| Connector Type | Bluetooth |
| Customer Reviews | 4.2 4.2 out of 5 stars (23) |
| Date First Available | 31 January 2020 |
| Item Dimensions LxWxH | 5.1 x 5.1 x 2.5 Centimeters |
| Item Weight | 3.1 g |
| Item model number | G650-04527-01 |
| Manufacturer | Google Coral |
| Material | tpu |
| Model | G650-04527-01 |
| Model Name | G650-04527-01 (Coral M.2 Accelerator A+E Key) |
| Operating System | Debian Linux |
| Processor Brand | Google |
| Processor Count | 1 |
| Product Dimensions | 5.08 x 5.08 x 2.54 cm; 3.1 g |
| Ram Memory Technology | LPDDR4X |
| Wireless Type | Bluetooth |

## Product Details

- **Brand:** Google Coral
- **CPU Manufacturer:** Google
- **Connectivity Technology:** Bluetooth
- **Model Name:** G650-04527-01 (Coral M.2 Accelerator A+E Key)
- **Operating System:** Debian Linux

## Images

![Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Image 1](https://m.media-amazon.com/images/I/31J5HN6nWKL.jpg)
![Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Image 2](https://m.media-amazon.com/images/I/31iee3izIUL.jpg)
![Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Image 3](https://m.media-amazon.com/images/I/31yNraE0E2L.jpg)
![Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Image 4](https://m.media-amazon.com/images/I/41WSX1w-c2L.jpg)
![Google Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface - Image 5](https://m.media-amazon.com/images/I/51-C0pVyAhL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by S***K on 10 January 2026*

Used for a Frigate project. Seemed to plug in with no issues.

### ⭐⭐⭐⭐⭐ Review
*by T***Y on 23 April 2024*

Installed this in place of a Wifi adapter in a N100 based NAS from china. need to use an old linux Ubuntu 22.04 works as Google refuses to update the drivers for this. Followed the documentation on googles coral.ai website to install the drivers, then followed Frigate's integration steps and it works first time. Went from 280% processor load to 20% for 8 1080p cameras.

### ⭐⭐⭐⭐⭐ Review
*by R***O on 30 September 2024*

Used this for a Coral AI project and it’s still doing great!

## Frequently Bought Together

- Coral System-On-Modules - SOM Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 (A/E Key), Integrate The Edge TPU into Legacy and New Systems Using a M.2 Interface
- Ableconn PEXM2150E PCI Express x1 Adapter Card with M.2 Key E Socket - Support M2 E Key or A-E Key WiFi or Bluetooth Module
- M.2 Accelerator with Dual Edge TPU M.2-2230 (E-key)

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*Product available on Desertcart Morocco*
*Store origin: MA*
*Last updated: 2026-01-26*