---
product_id: 181893340
title: "Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3"
brand: "google coral"
price: "$4122"
currency: MXN
in_stock: true
reviews_count: 4
category: "Google Coral"
url: https://www.desertcart.mx/products/181893340-coral-m-2-accelerator-a-e-key-g650-04527-01
store_origin: MX
region: Mexico
---

# 4 TOPS peak ML power 2 TOPS per watt efficiency -20°C to +85°C industrial range Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3

**Brand:** google coral
**Price:** $4122
**Availability:** ✅ In Stock

## Summary

> 🚀 Turbocharge your AI edge with Coral’s powerhouse accelerator!

## Quick Answers

- **What is this?** Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 by google coral
- **How much does it cost?** $4122 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.mx](https://www.desertcart.mx/products/181893340-coral-m-2-accelerator-a-e-key-g650-04527-01)

## 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

- • **Power-Savvy Performance:** Delivers 2 TOPS per watt, perfect for energy-conscious embedded applications.
- • **Blazing Fast ML Inference:** Harness 4 TOPS of Edge TPU power to accelerate your AI workloads effortlessly.
- • **Seamless System Integration:** Plug-and-play M.2 A+E key interface ensures quick deployment in your existing setups.
- • **Cross-Platform Compatibility:** Runs smoothly on Linux (Debian/Ubuntu) and Windows 10 for versatile development.
- • **Built for the Harshest Conditions:** Industrial-grade reliability with a wide operating temperature range from -20°C to 85°C.

## Overview

The Coral M.2 Accelerator A+E Key is a compact, industrial-grade machine learning accelerator featuring Google’s Edge TPU. It delivers up to 4 TOPS peak performance with exceptional power efficiency (2 TOPS/W), supports M.2 A+E key interface for easy integration, and operates reliably in extreme temperatures (-20°C to 85°C). Compatible with popular Linux distros and Windows 10, it’s ideal for embedded AI applications requiring robust, low-power inferencing.

## Description

Coral M.2 Accelerator A+E Key is a high-performance machine learning accelerator that integrates the 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: Home Assistant / Frigate capable. - Used for a Frigate project. Seemed to plug in with no issues.
Review: Works fantastic in Ubuntu 22 and with Frigate NVR - 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 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 |
| Best Sellers Rank | #144,713 in Industrial & Scientific ( See Top 100 in Industrial & Scientific ) #54 in Acceleration Sensors |
| Customer Reviews | 4.3 4.3 out of 5 stars (25) |
| Date First Available | January 2, 2020 |
| Item Weight | 0.109 ounces |
| Item model number | G650-04527-01 |
| Manufacturer | Coral |
| Product Dimensions | 2 x 2 x 1 inches |

## Product Details

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

## Images

![Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 - Image 1](https://m.media-amazon.com/images/I/51Edy3HVfYL.jpg)
![Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 - Image 2](https://m.media-amazon.com/images/I/51MO2zfBtML.jpg)
![Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 - Image 3](https://m.media-amazon.com/images/I/51-C0pVyAhL.jpg)
![Coral M.2 Accelerator A+E Key,G650-04527-01 SOM- Edge TPU ML Compute Accelerator, M.2-2230-A-E-S3 - Image 4](https://m.media-amazon.com/images/I/518vTCeHTML.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Home Assistant / Frigate capable.
*by S***K on January 10, 2026*

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

### ⭐⭐⭐⭐⭐ Works fantastic in Ubuntu 22 and with Frigate NVR
*by T***Y on April 23, 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.

### ⭐⭐⭐⭐⭐ Working perfectly
*by R***O on September 30, 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 Mexico*
*Store origin: MX*
*Last updated: 2026-02-20*