---
product_id: 549403781
title: "seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers"
brand: "seeed studio"
price: "฿11815"
currency: THB
in_stock: true
reviews_count: 4
url: https://www.desertcart.co.th/products/549403781-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi
store_origin: TH
region: Thailand
---

# High-speed ML inferencing USB 3.0 Type-C connectivity Supports TensorFlow Lite seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

**Brand:** seeed studio
**Price:** ฿11815
**Availability:** ✅ In Stock

## Summary

> 🚀 Elevate Your Projects with Edge AI Magic!

## Quick Answers

- **What is this?** seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers by seeed studio
- **How much does it cost?** ฿11815 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.th](https://www.desertcart.co.th/products/549403781-seeed-studio-coral-usb-accelerator-accelerator-coprocessor-for-raspberry-pi)

## 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

- • **Cloud-Ready:** Compatible with Google Cloud for enhanced capabilities.
- • **Unleash AI Power:** Experience lightning-fast ML inferencing with minimal power consumption.
- • **No Coding Required:** Easily deploy TensorFlow Lite models without starting from scratch.
- • **Universal Compatibility:** Seamlessly connects to Raspberry Pi, macOS, and Windows 10 systems.
- • **Edge Intelligence Made Easy:** Build and deploy custom image classification models effortlessly.

## Overview

The Coral USB Accelerator is a compact coprocessor designed for high-speed machine learning inferencing, compatible with various platforms including Raspberry Pi and major operating systems. It supports TensorFlow Lite and AutoML Vision Edge, allowing users to build and deploy custom models efficiently. Weighing just 3.52 ounces and measuring 1.97 x 1.97 x 3.94 inches, it offers a powerful solution for edge computing applications.

## Description

seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

## Technical Specifications

| Specification | Value |
|---------------|-------|
| RAM | DDR4 |
| Brand | seeed studio |
| Series | Coral USB Accelerator |
| Operating System | Debian Linux, macOS, Windows 10 |
| Item Weight | 3.52 ounces |
| Product Dimensions | 1.97 x 1.97 x 3.94 inches |
| Item Dimensions  LxWxH | 1.97 x 1.97 x 3.94 inches |
| Processor Brand | Broadcom |
| Number of Processors | 1 |
| Manufacturer | seeed studio |
| ASIN | B0CDGT75SH |
| Date First Available | August 2, 2023 |

## Product Details

- **Brand:** seeed studio
- **Model Name:** Coral USB Accelerator
- **Memory Storage Capacity:** 16 KB
- **Connectivity Technology:** USB
- **Operating System:** Debian Linux, macOS, Windows 10

## Images

![seeed studio Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers - Image 1](https://m.media-amazon.com/images/I/41ahuMC2x2L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Working good so far!
*by B***S on June 24, 2025*

So far this is working great with my frigate instance running in proxmox, it took a bit to setup but i believe that was more related to my frigate config instead of related to the Coral device

### ⭐⭐⭐⭐⭐ Make sure you plug it in the right USB port!
*by R***T on February 29, 2024*

Arrive quite quickly. Plugged it in using supplied cable to USB port on back of a Topton fanless 4 port mini PC (n5105) and passed through USB port from Proxmox to Frigate docker container (running in Docker LXC). Set up camera (Reolink RL-810A) and checked Inference Speed of Coral TPU and it was not good at 29.3 ms. Checked USB port specifications of Topton mini-PC and remembered that the back USB ports are all just USB gen2. Both USB A type ports on front of the Topton are gen3 but both were already in use so plugged Coral cable into a USB-A to USB-C adapter and then plugged adapter into front USB-C port on Topton mini PC. Re-configured USB pass through from Proxmox to container and restarted. Inference Speed dropped to 9.2 ms - should have read the section on using fastest USB port! Added 3 more cameras (one more Reolink RL-810A, one Eufy 2K indoor and one Eufy 2k Pan and Tilt indoor). Inference Speed looks stable at about 8.9 ms (not as good as some reports in frigate forums but still good given Coral is passed through from Proxmox to Docker LXC then Frigate docker container inside that).Coral TPU has been working well for past week and false positives cut down markedly from Eufy cameras (mostly cat detection) compared to native camera app's 'pet' detection while notifications from Frigate NVR via Home Assistant to phone are a few seconds faster than the notifications from the native camera apps but not much in it. Person detection from Reolink itself seems on a par with frigate/coral however but Frigate + Coral is work well with Person, cat, dog, bicycle and motorbike objects while Reolink natively only has Person, Vehicle and Pet.Overall pleased with Coral unit (even though seems expensive) and very pleased with speed of dispatch as well as delivery time from Seeed Studio Store.

### ⭐ Coral Accelerator: Great at Machine Learning, Terrible at Being a Machine!
*by R***L on June 28, 2025*

Subject: DOA Coral USB Accelerator + Absurd Return Process = Consumer HostilityI’m writing to express my deep frustration at receiving a dead-on-arrival Coral USB Accelerator, only to be met with a return process that seems more like a test of consumer endurance than a genuine support experience.Let’s be clear: this isn’t about "user error." I’ve tested the device across multiple USB 3.0 ports, swapped in verified data-capable cables, and even plugged it into a second machine. It doesn’t register — no LED activity, no kernel acknowledgment, nothing in lsusb. The device is a brick. I’ve debugged systems long enough to know when the problem is hardware, not human.And yet, instead of a simple replacement or refund, I’m being treated like someone trying to con their way into a second-rate dev board. The hoops I’m asked to jump through — proof-of-purchase uploads, repeated device re-testing, form after form — amount to one message: we don’t trust our customers. Not even when they’re the ones building edge AI systems on their own time and budget.This isn’t just bad CX. It’s insulting. I’m not here to scam a $60 component. I’m here trying to build. And right now, the message I’m getting from Coral’s return process is that my time, effort, and technical skill mean less than your paranoia about reverse logistics fraud.I expect better from a company building for developers. Refund the purchase. Replace the unit. I was hoping you wouldn’t make me dance to prove what you should have validated in QA.Sincerely,A very tired engineer.

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*Product available on Desertcart Thailand*
*Store origin: TH*
*Last updated: 2026-02-13*