---
product_id: 223302122
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: "Rp4467353"
currency: IDR
in_stock: true
reviews_count: 5
category: "Google Coral"
url: https://www.desertcart.id/products/223302122-som-system-on-modules-som-google-edge-tpu-ml-compute
store_origin: ID
region: Indonesia
---

# 4 TOPS inferencing power Standard Half-Mini PCIe slot Supports x86-64 & ARMv8 architectures 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:** Rp4467353
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your edge AI with Google'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?** Rp4467353 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.id](https://www.desertcart.id/products/223302122-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:** Plug into legacy or new systems via standard Half-Mini PCIe slot—no overhaul needed
- • **TensorFlow Lite Ready:** Deploy cutting-edge ML models instantly without rebuilding from scratch
- • **Custom Vision 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 with both x86-64 and ARMv8 support

## Overview

The SOM Google Edge TPU ML Compute Accelerator delivers ultra-efficient machine learning inferencing at 4 TOPS using just 2 watts, compatible with standard Half-Mini PCIe slots. It supports major OS platforms including Debian, Ubuntu, and Windows 10 on both x86-64 and ARMv8 architectures, enabling seamless integration into legacy and modern systems. Optimized for TensorFlow Lite and AutoML Vision Edge, it empowers developers to deploy high-speed, custom ML models directly at the edge.

## 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 | 227,599 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 959 in Network Cards |
| Guaranteed software updates until | unknown |
| 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
- **Connectivity technology:** Mini PCIe
- **Included components:** SOM Google Edge TPU ML Compute Accelerator board
- **Memory storage capacity:** 8 GB
- **Model name:** SOM Google Edge TPU ML Compute Accelerator

## 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)

## 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
- Ableconn PEX-MP117 Mini PCI-E to PCI-E Adapter Card - Mini PCIe to PCIe Adapter - mPCIe to PCIe - Ideal for Wireless Mini PCI Express Card
- GLOTRENDS WA02 Mini PCIe to PCIe X1 WiFi Bluetooth Adapter for Mini PCIe WiFi 4/5/6/6e Module/Coral TPU Module, with 3.5-dBi SMA Antenna Kits

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*Product available on Desertcart Indonesia*
*Store origin: ID*
*Last updated: 2026-02-25*