---
product_id: 462766510
title: "USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers"
brand: "google coral"
price: "HK$1502"
currency: HKD
in_stock: true
url: https://www.desertcart.hk/products/462766510-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other
store_origin: HK
region: Hong Kong
---

# 100+ fps inferencing speed USB 3.1 Gen 1 SuperSpeed 5Gb/s Google Edge TPU ML coprocessor USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

**Brand:** google coral
**Price:** HK$1502
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your AI edge with Google's fastest USB ML 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?** HK$1502 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hk](https://www.desertcart.hk/products/462766510-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-Connected AI:** Compatible with Google Cloud for scalable, hybrid AI solutions.
- • **TensorFlow Lite Ready:** Easily deploy and compile models built on TensorFlow Lite for maximum flexibility.
- • **Compact & Power Efficient:** Small footprint with low power consumption keeps your projects sleek and sustainable.
- • **Blazing Fast ML Inferencing:** Run MobileNet v2 at 100+ fps for real-time AI insights.
- • **Seamless USB 3.1 Connectivity:** SuperSpeed 5Gb/s USB Type-C interface for lag-free data transfer.

## Overview

The Google Coral USB Edge TPU Accelerator is a compact, low-power machine learning coprocessor designed to boost inferencing speeds on Linux-based embedded systems. Featuring a Google-designed Edge TPU ASIC and an ARM Cortex-M0+ MCU, it delivers over 100 fps on mobile vision models like MobileNet v2 via a USB 3.1 Gen 1 Type-C interface. Fully compatible with TensorFlow Lite and Google Cloud, it enables fast, efficient, and scalable AI deployments on Raspberry Pi and other single-board computers.

## Description

USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

## 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 acceleration coprocessor, USB 3.0 Type-C female, supports Debian Linux to host CPU, models are built with TensorFlow Supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud
- 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.
- Features: Google Edge TPU ML accelerator coprocessor, USB 3.0 Type-C socket, Supports Debian Linux on host CPU, Models are built using TensorFlow. Full supports MobileNet and Inception architectures through custom architectures are possible. Compatible with Google Cloud.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Brand | Google Coral |
| Product Dimensions | 7.62 x 5.08 x 2.54 cm; 82 g |
| Item model number | Coral-USB-Accelerator |
| Manufacturer | Google Coral |
| Processor Brand | ARM |
| Processor Count | 1 |
| Operating System | Linux |
| Are Batteries Included | No |
| Item Weight | 82 g |
| Guaranteed software updates until | unknown |

## 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

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**Shop now:** [https://www.desertcart.hk/products/462766510-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other](https://www.desertcart.hk/products/462766510-usb-edge-tpu-ml-accelerator-coprocessor-for-raspberry-pi-other)

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*Product available on Desertcart Hong Kong*
*Store origin: HK*
*Last updated: 2026-02-26*