---
product_id: 345373854
title: "USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers"
brand: "google coral"
price: "155913CFA"
currency: XOF
in_stock: true
reviews_count: 9
category: "Google Coral"
url: https://www.desertcart.sn/products/345373854-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other
store_origin: SN
region: Senegal
---

# 5Gb/s USB 3.1 SuperSpeed Google Edge TPU ML accelerator Supports MobileNet & Inception AI models USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

**Brand:** google coral
**Price:** 155913CFA
**Availability:** ✅ In Stock

## Summary

> 🚀 Supercharge your AI edge projects with Google's USB TPU accelerator!

## Quick Answers

- **What is this?** USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by google coral
- **How much does it cost?** 155913CFA with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.sn](https://www.desertcart.sn/products/345373854-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other)

## 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

- • **Cloud-Ready Compatibility:** Easily scale your AI projects with Google Cloud integration for next-level edge computing.
- • **Compact & Lightweight Design:** At just 90g and pocket-sized, it fits effortlessly into any embedded project setup.
- • **Blazing Fast USB 3.1 Interface:** Experience ultra-responsive ML inferencing with 5Gb/s data transfer speeds.
- • **Edge TPU-Powered AI Acceleration:** Unlock real-time machine learning on your Raspberry Pi or SBC with Google's dedicated TPU coprocessor.
- • **Seamless Linux & TensorFlow Integration:** Plug-and-play support for Debian Linux and TensorFlow models ensures smooth AI deployment.

## Overview

The Google Coral USB Edge TPU ML Accelerator is a compact, high-performance coprocessor designed to boost machine learning inferencing on Raspberry Pi and other embedded single board computers. Featuring a 5Gb/s USB 3.1 interface, an ARM Cortex-M0+ MCU, and full support for TensorFlow models like MobileNet and Inception, it enables real-time AI processing with seamless Linux compatibility and Google Cloud integration.

## Description

Buy Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers online at low price in India on desertcart.in. Check out Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers reviews, ratings, features, specifications and browse more Google Coral products online at best prices on desertcart.in.

Review: AI at home - Combined with a Raspberry Pi 4 and a custom 3D printed case - as described at the Google MakerAI website. Was able to do the projects as specified. Requires a temperature check every now and then. Too good to be ignored by the serious explorer!
Review: Works well with Frigate Home Assistant - Pricey but works well with homeassistant. Using six cameras with frigate in homeassistant installed on a celeron NUC. Good stuff .

## Features

- Specifications: Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
- Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Fully supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B07R53D12W |
| Batteries Included | No |
| Batteries Required | No |
| Best Sellers Rank | #117,290 in Electronics ( See Top 100 in Electronics ) #175 in Motherboards |
| Brand | Google Coral |
| Connector Type | USB |
| Customer Reviews | 4.3 4.3 out of 5 stars (458) |
| Date First Available | 18 January 2020 |
| Does it contain liquid? | No |
| Hardware Interface | USB |
| Item Dimensions LxWxH | 7.6 x 5.1 x 2.5 Centimeters |
| Item Weight | 90 g |
| Item model number | Coral-USB-Accelerator |
| Manufacturer | Google Coral |
| Memory Storage Capacity | 16 KB |
| Model | Coral-USB-Accelerator |
| Operating System | Linux |
| Processor Brand | ARM |
| Processor Count | 1 |
| Processor Speed | 32 MHz |
| Product Dimensions | 7.62 x 5.08 x 2.54 cm; 90 g |

## Images

![USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 1](https://m.media-amazon.com/images/I/61J05USFjaL.jpg)

## Questions & Answers

**Q: could this be used to dramatically speed up Hashcat?**
A: No, Hashcat don't support the TPU and the TPU wouldn't support hashcat, in theory. The TPU is an ASIC that doesn't even do the right kind of math for password hashing. It's built for Matrix operations for interference training, not low precision parallel integer operations.

**Q: Is this only the USB accelerator or the development board?**
A: This is the USB accelerator

**Q: Can it run on Mac?**
A: The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer.

**Q: I thought the list price was 59.99, what is up with the scalping?**
A: Demand vs supply

## Customer Reviews

### ⭐⭐⭐⭐⭐ AI at home
*by A***H on 13 January 2024*

Combined with a Raspberry Pi 4 and a custom 3D printed case - as described at the Google MakerAI website. Was able to do the projects as specified. Requires a temperature check every now and then. Too good to be ignored by the serious explorer!

### ⭐⭐⭐⭐⭐ Works well with Frigate Home Assistant
*by P***Y on 23 February 2024*

Pricey but works well with homeassistant. Using six cameras with frigate in homeassistant installed on a celeron NUC. Good stuff .

### ⭐ Please do not buy this
*by B***W on 15 June 2025*

This product is more of a relic now and should not be sold online to unsuspecting customers. None of the python packages required to run models on this device are supported or maintained by the manufacturer anymore. I bought this for a hobby project and gave up after several weeks of trying to get it to function.

## Frequently Bought Together

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**Shop now:** [https://www.desertcart.sn/products/345373854-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other](https://www.desertcart.sn/products/345373854-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other)

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*Product available on Desertcart Senegal*
*Store origin: SN*
*Last updated: 2026-02-26*