---
product_id: 533845798
title: "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: "$5633"
currency: MXN
in_stock: false
reviews_count: 4
url: https://www.desertcart.mx/products/533845798-system-on-modules-som-edge-tpu-ml-compute-accelerator-m
store_origin: MX
region: Mexico
---

# 4 TOPS peak ML power M.2 A+E key plug & play -20°C to +85°C industrial grade 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:** $5633
**Availability:** ❌ Out of Stock

## Summary

> 🚀 Edge TPU Powerhouse: Accelerate your AI at the speed of now!

## Quick Answers

- **What is this?** 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?** $5633 with free shipping
- **Is it available?** Currently out of stock
- **Where can I buy it?** [www.desertcart.mx](https://www.desertcart.mx/products/533845798-system-on-modules-som-edge-tpu-ml-compute-accelerator-m)

## 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 edge deployments.
- • **Built for the Real World:** Operates reliably from -20°C to +85°C, engineered to thrive in harsh industrial environments.
- • **Blazing Fast ML Inference:** Harness 4 TOPS (int8) peak performance for lightning-quick AI tasks.
- • **Seamless Legacy Integration:** Fits effortlessly into existing systems via M.2 A+E key interface—no hassle, just power.
- • **Cross-Platform Compatibility:** Runs smoothly on Linux (Debian/Ubuntu) and Windows 10 (64-bit) for versatile development.

## Overview

The Google Coral M.2 Accelerator A+E Key is a compact, high-performance machine learning module delivering up to 4 TOPS peak inference power. Designed for easy integration via the M.2 A+E key interface, it supports Linux and Windows platforms while maintaining low power consumption at 2 TOPS per watt. Built to endure industrial temperature ranges, this module is ideal for embedding advanced AI capabilities into legacy or new edge 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 |
| Best Sellers Rank | 160,840 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 3,827 in Single-Board Computers & Accessories |
| Guaranteed software updates until | unknown |
| Item model number | G650-04527-01 |
| Manufacturer | Google Coral |
| Product Dimensions | 5.08 x 5.08 x 2.54 cm; 3.1 g |

## Product Details

- **Brand:** Google Coral
- **CPU model:** Google Tensor
- **Connectivity technology:** PCIe
- **Included components:** M.2 module
- **Model name:** Google Coral System-On-Modules

## Images

![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/51Edy3HVfYL.jpg)
![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/51MO2zfBtML.jpg)
![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/51-C0pVyAhL.jpg)
![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/518vTCeHTML.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)

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://www.desertcart.mx/products/533845798-system-on-modules-som-edge-tpu-ml-compute-accelerator-m](https://www.desertcart.mx/products/533845798-system-on-modules-som-edge-tpu-ml-compute-accelerator-m)

---

*Product available on Desertcart Mexico*
*Store origin: MX*
*Last updated: 2026-02-20*