---
product_id: 529380776
title: "SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe"
brand: "google coral"
price: "₨58255"
currency: LKR
in_stock: true
reviews_count: 5
url: https://www.desertcart.lk/products/529380776-som-system-on-modules-som-google-edge-tpu-ml-compute
store_origin: LK
region: Sri Lanka
---

# 4 TOPS power efficiency Debian & Ubuntu ready Half-mini PCIe plug & play SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe

**Brand:** google coral
**Price:** ₨58255
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your edge AI with Google Coral’s lightning-fast TPU accelerator

## Quick Answers

- **What is this?** SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe by google coral
- **How much does it cost?** ₨58255 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.lk](https://www.desertcart.lk/products/529380776-som-system-on-modules-som-google-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

- • **Seamless Integration:** Standard half-mini PCIe form factor fits legacy and new systems effortlessly
- • **Custom AI at the Edge:** Leverage AutoML Vision Edge for rapid, high-accuracy image classification on-device
- • **Blazing Fast ML Inferencing:** 4 trillion operations per second with ultra-low 0.5W per TOPS efficiency
- • **Cross-Platform Compatibility:** Runs on Debian, Ubuntu, and Windows 10 x86-64 & ARMv8 architectures
- • **Plug & Play TensorFlow Lite Support:** Deploy state-of-the-art ML models instantly without rebuilding from scratch

## Overview

The SOM Google Edge TPU ML Compute Accelerator is a compact, energy-efficient module delivering 4 TOPS of machine learning inferencing power via a standard half-mini PCIe interface. Compatible with Debian-based Linux and Windows 10 systems, it supports TensorFlow Lite and AutoML Vision Edge for rapid deployment of custom AI models, making it ideal for professionals upgrading legacy systems or building cutting-edge edge AI solutions.

## Description

Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system 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.

Review: Works on my Intel NUC
Review: Doesn't work with most adaptors or computers.

## Features

- 64-bit version of Debian 10 or Ubuntu 16.04 (or newer)
- x86-64 or ARMv8 system architecture
- 64-bit version of Windows 10
- x86-64 system architecture

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0844WRL58 |
| Best Sellers Rank | #990,758 in Electronics ( See Top 100 in Electronics ) #19,434 in Components |
| Box Contents | SOM Google Edge TPU ML Compute Accelerator board |
| Brand | Google Coral |
| Brand Name | Google Coral |
| CPU Speed | 4 GHz |
| Compatible Devices | Debian-based Linux systems |
| Connectivity Technology | Half-size Mini PCIe |
| Customer Reviews | 4.4 out of 5 stars 19 Reviews |
| Included Components | SOM Google Edge TPU ML Compute Accelerator board |
| Item Dimensions L x W x H | 27W Millimeters |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 8 GB |
| Model Name | Coral SOM |
| Network Connectivity Technology | Half-size Mini PCIe |
| Operating System | Debian-based Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 4 GHz |
| RAM Memory Technology | DDR4 |
| UPC | 608614202775 |
| Wireless Compability | Bluetooth |

## Product Details

- **Brand:** Google Coral
- **Model Name:** Coral SOM
- **Memory Storage Capacity:** 8 GB
- **CPU Speed:** 4 GHz
- **Connectivity Technology:** Half-size Mini PCIe

## Images

![SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 1](https://m.media-amazon.com/images/I/51ggonhJIbL.jpg)
![SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 2](https://m.media-amazon.com/images/I/51mT7U9-EYL.jpg)
![SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 3](https://m.media-amazon.com/images/I/51rcUim0R6L.jpg)
![SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe - Image 4](https://m.media-amazon.com/images/I/51ESNqPCa7L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Works on my Intel NUC
*by B***. on 23 January 2025*



### ⭐ Doesn't work with most adaptors or computers.
*by G***D on 22 January 2024*



### ⭐⭐⭐⭐⭐ Works with frigate
*by N***T on 2 August 2023*



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*Product available on Desertcart Sri Lanka*
*Store origin: LK*
*Last updated: 2026-02-26*