---
product_id: 270134758
title: "SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe"
brand: "google coral"
price: "74688 Ft"
currency: HUF
in_stock: true
reviews_count: 5
category: "Google Coral"
url: https://www.desertcart.hu/products/270134758-som-system-on-modules-som-edge-tpu-ml-compute-accelerator
store_origin: HU
region: Hungary
---

# 4 TOPS inferencing speed 2 TOPS per watt power efficiency Half-mini PCIe universal integration SOM System-On-Modules - SOM Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard Half-Mini PCIe

**Brand:** google coral
**Price:** 74688 Ft
**Availability:** ✅ In Stock

## Summary

> 🚀 Supercharge your edge AI with power, speed, and seamless integration!

## Quick Answers

- **What is this?** SOM System-On-Modules - SOM 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?** 74688 Ft with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hu](https://www.desertcart.hu/products/270134758-som-system-on-modules-som-edge-tpu-ml-compute-accelerator)

## 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:** Achieves 2 TOPS per watt, maximizing efficiency without compromise 🔋
- • **Blazing Fast ML Inferencing:** Delivers 4 trillion operations per second for real-time AI insights ⚡
- • **Custom AI at Your Fingertips:** Leverage AutoML Vision Edge to build and deploy tailored image classifiers fast 🎯
- • **Plug & Play TensorFlow Lite Support:** Run pre-built AI models instantly, no heavy development needed 🤖
- • **Seamless Legacy & Modern Integration:** Fits standard half-mini PCIe slots for effortless system upgrades 🖥️

## Overview

The SOM Edge TPU ML Compute Accelerator by Google Coral is a compact, energy-efficient module delivering 4 TOPS inferencing power at 2 TOPS per watt. Compatible with Debian and Windows 10 on x86-64 and ARMv8 architectures, it integrates via a standard half-mini PCIe slot. Designed for rapid deployment of TensorFlow Lite and AutoML Vision Edge models, it transforms legacy and new systems into AI-powered workhorses.

## 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: This works great on an old Intel NUC that I use to run Frigate NVR.
Review: I eventually got it working but it cost me a small fortune buying several expensive ($80+) adaptors and in the end only one PCIe adaptor would work in a Lenovo machine I have. Nothing would work in any of the Dell computers I have. The drivers don't work with new Linux distributions. I expected so much better from Google. Google isn't what they used to be, only in it for the money now. Sad.

## 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 | #112,210 in Computers ( See Top 100 in Computers ) #78 in Barebone PCs |
| Item model number | G650-04528-01 |
| Manufacturer | Google Coral |
| Product Dimensions | 5.08 x 5.08 x 2.54 cm; 9 g |

## Product Details

- **Brand:** Google Coral
- **CPU model:** ARMv7
- **Connectivity technology:** Mini PCIe
- **Memory storage capacity:** 8 GB
- **Model name:** SOM Google Edge TPU ML Compute Accelerator

## Images

![SOM System-On-Modules - SOM 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)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by B***. on 23 January 2025*

This works great on an old Intel NUC that I use to run Frigate NVR.

### ⭐ Review
*by G***D on 22 January 2024*

I eventually got it working but it cost me a small fortune buying several expensive ($80+) adaptors and in the end only one PCIe adaptor would work in a Lenovo machine I have. Nothing would work in any of the Dell computers I have. The drivers don't work with new Linux distributions. I expected so much better from Google. Google isn't what they used to be, only in it for the money now. Sad.

### ⭐⭐⭐⭐⭐ Review
*by N***T on 2 August 2023*

Working well for person detection / recognition.

## Frequently Bought Together

- 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
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*Product available on Desertcart Hungary*
*Store origin: HU*
*Last updated: 2026-02-21*