---
product_id: 624789271
title: "Seeed Studio Coral M.2 Accelerator with Dual Edge TPU"
brand: "seeed studio"
price: "$231"
currency: NZD
in_stock: true
reviews_count: 5
category: "Seeed Studio"
url: https://www.desertcart.nz/products/624789271-seeed-studio-coral-m-2-accelerator-with-dual-edge-tpu
store_origin: NZ
region: New Zealand
---

# 8 TOPS dual TPU power PCIe Gen2 x1 interface 2W power efficiency Seeed Studio Coral M.2 Accelerator with Dual Edge TPU

**Brand:** seeed studio
**Price:** $231
**Availability:** ✅ In Stock

## Summary

> 🚀 Double the TPU, double the AI power—accelerate your edge computing game!

## Quick Answers

- **What is this?** Seeed Studio Coral M.2 Accelerator with Dual Edge TPU by seeed studio
- **How much does it cost?** $231 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.nz](https://www.desertcart.nz/products/624789271-seeed-studio-coral-m-2-accelerator-with-dual-edge-tpu)

## Best For

- seeed studio enthusiasts

## Why This Product

- Trusted seeed studio brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Power-Efficient Edge AI:** Maximize performance with just 2 watts per TPU—smart computing without the heat.
- • **TensorFlow Lite & AutoML Ready:** Deploy cutting-edge models instantly with native support for TensorFlow Lite and AutoML Vision Edge.
- • **On-Device Privacy & Low Latency:** Keep your data secure and inference instant—no cloud dependency required.
- • **Blazing Fast Dual TPU Performance:** Harness 8 trillion operations per second for lightning-speed ML inferencing.
- • **Seamless Integration with Debian & Windows:** Plug-and-play compatibility with popular OS for effortless deployment.

## Overview

The Seeed Studio Coral M.2 Accelerator features dual Edge TPU coprocessors delivering a combined 8 TOPS of ML inferencing power at just 4 watts total. Designed for seamless integration with Debian Linux and Windows 10 systems via PCIe Gen2 x1, it supports TensorFlow Lite and AutoML Vision Edge for rapid deployment of custom AI models. This compact M.2 module enables ultra-fast, power-efficient on-device machine learning, reducing latency and enhancing data privacy by eliminating cloud reliance.

## Description

The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module (E-key) that includes two Edge TPU ML accelerators, each with their own PCIe Gen2 x1 interface. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs.

Review: not working at all
Review: Viene sin caja, metido en una bolsa de plástico de burbujas, y esta a su vez en otra. Un producto muy pequeño, delicado y sin caja del fabricante. Parece de segunda mano o de baja calidad. Aún no la he instalado. Espero funcione. Muy mala presentación para ser tan cara.

## Features

- Performs high-speed ML inferencing: Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by running two models in parallel or pipelining one model across both Edge TPUs.
- Works with Debian Linux and Windows: Integrates with Debian-based Linux or Windows 10 systems 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. Description

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0CY231Q61 |
| Best Sellers Rank | #50,116 in Computers ( See Top 100 in Computers ) #637 in Single-Board Computers |
| Item model number | Coral M.2 |
| Manufacturer | seeed studio |
| Package Dimensions | 8.71 x 5.89 x 0.71 cm; 18 g |

## Product Details

- **Brand:** Seeed Studio
- **CPU model:** Core i3
- **Connectivity technology:** USB
- **Included components:** M.2 module, heatsink, manual
- **Model name:** Seeed Studio Coral

## Images

![Seeed Studio Coral M.2 Accelerator with Dual Edge TPU - Image 1](https://m.media-amazon.com/images/I/51NqTWAEWAL.jpg)
![Seeed Studio Coral M.2 Accelerator with Dual Edge TPU - Image 2](https://m.media-amazon.com/images/I/61GAqi4CkaL.jpg)
![Seeed Studio Coral M.2 Accelerator with Dual Edge TPU - Image 3](https://m.media-amazon.com/images/I/61M9kToShBL.jpg)
![Seeed Studio Coral M.2 Accelerator with Dual Edge TPU - Image 4](https://m.media-amazon.com/images/I/61TkyKRludL.jpg)
![Seeed Studio Coral M.2 Accelerator with Dual Edge TPU - Image 5](https://m.media-amazon.com/images/I/61i42Ub8asL.jpg)

## Customer Reviews

### ⭐ Review
*by T***I on 13 October 2024*

not working at all

### ⭐⭐⭐⭐ Review
*by E***A on 26 January 2025*

Viene sin caja, metido en una bolsa de plástico de burbujas, y esta a su vez en otra. Un producto muy pequeño, delicado y sin caja del fabricante. Parece de segunda mano o de baja calidad. Aún no la he instalado. Espero funcione. Muy mala presentación para ser tan cara.

### ⭐⭐⭐⭐⭐ Review
*by W***T on 27 May 2024*

I use this with the free/open source Frigate NVR software that is connected to my Home Assistant. I have an HP EliteDesk 705 that I took out the wifi/bluetooth card because I use a hardwired LAN connection and put this Coral in instead. Sadly it only detects one of the TPUs, but that's not the Coral's fault, it's a limitation on my computer.

## Frequently Bought Together

- Coral M.2 Accelerator with Dual Edge TPU …
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*Product available on Desertcart New Zealand*
*Store origin: NZ*
*Last updated: 2026-02-16*