---
product_id: 642367194
title: "Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board"
brand: "waveshare"
price: "฿25851"
currency: THB
in_stock: true
reviews_count: 8
category: "Waveshare"
url: https://www.desertcart.co.th/products/642367194-hailo-8-m-2-ai-accelerator-module-compatible-with-raspberry
store_origin: TH
region: Thailand
---

# 26 TOPS AI processing power 2.5W ultra-low power consumption -40°C to 85°C operating range Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board

**Brand:** waveshare
**Price:** ฿25851
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your edge AI with Waveshare’s 26 TOPS accelerator — because speed waits for no one!

## Quick Answers

- **What is this?** Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board by waveshare
- **How much does it cost?** ฿25851 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/642367194-hailo-8-m-2-ai-accelerator-module-compatible-with-raspberry)

## Best For

- waveshare enthusiasts

## Why This Product

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

## Key Features

- • **Framework Freedom:** Plug & play with TensorFlow, PyTorch, ONNX, and more—future-proof your AI projects.
- • **Edge-Optimized Efficiency:** Run complex AI tasks with just 2.5W power—perfect for always-on devices.
- • **Rock-Solid Thermal Resilience:** Operates flawlessly from freezing cold to scorching heat (-40°C to 85°C).
- • **Blazing 26 TOPS AI Performance:** Unleash real-time, multi-model inferencing at lightning speed.
- • **Seamless Cross-Platform Support:** Compatible with Raspberry Pi 5, Linux & Windows for ultimate flexibility.

## Overview

The Waveshare Hailo-8 M.2 AI Accelerator Module delivers a staggering 26 TOPS of AI inferencing power with ultra-low 2.5W consumption. Designed for Raspberry Pi 5 and compatible with Linux and Windows, it supports major AI frameworks like TensorFlow and PyTorch. Built to handle multi-stream, multi-model workloads in real-time, it thrives in extreme temperatures from -40°C to 85°C, making it the ultimate edge AI solution for professionals demanding speed, efficiency, and versatility.

## Description

Buy Waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board: Motherboards - desertcart.com ✓ FREE DELIVERY possible on eligible purchases

Review: It is fast, powerful, challenging to setup, worth it - It can be difficult to source these modules so this is a great way to get one. I installed mine on my Docker server running Ubuntu on a late-generation Intel CPU, and it drastically accelerated and increased the accuracy of workflows like speech-to-text, visual object recognition, and text-to-speech. Driver install, firmware updates, and software configuration is not for the novice, but otherwise this product has been able to process intensive object detection using XL vision models from multiple 4K cameras, and process speech synthesis and decomposition, all at the same time. I can't recommend it enough.
Review: It's the start of a cluster rack - Not exactly what I thought but still very interesting and there still a lot to learn It is well made and from reliable manufacture

## Features

- ✅Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption
- ✅Scalable, enabling simultaneous processing of multi-streams & multi-models
- ✅Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
- ✅Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
- ✅Supports Linux and Windows. Supports the temperature range of -40°C to 85°C
- ❤️Rich WiKi Resources❤️ We provide official Wiki resources, please contact us for more information.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B0D9298XL5 |
| Best Sellers Rank | #687 in Computer Motherboards #3,683 in Single Board Computers (Computers & Accessories) |
| Brand | waveshare |
| Built-In Media | 16P-Cable-40mm x1, 2*20 Pin header x1, Hailo-8 AI M.2 Module x1, PCIe TO M.2 HAT+ x1, Standoff pack x1 |
| CPU Socket | BGA |
| Chipset Type | Broadcom BCM2711 |
| Compatible Devices | Raspberry Pi 5, Single-Board Computers |
| Compatible Processors | Broadcom BCM2711 |
| Customer Reviews | 3.7 out of 5 stars 12 Reviews |
| Graphics Card Interface | PCI Express |
| Main Power Connector Type | 24-Pin |
| Manufacturer | Waveshare |
| Memory Slots Available | 8 |
| Mfr Part Number | Hailo-8 Acce A |
| Model Name | Hailo-8 Acce A |
| Model Number | Hailo-8 Acce A |
| Number of Ethernet Ports | 2 |
| Number of Ports | 4 |
| Platform | Linux |
| Processor Socket | BGA |
| RAM Memory Technology | LPDDR4X, LPDDR4 |
| System Bus Standard Supported | PCIe |
| Total Number of HDMI Ports | 2 |
| Total PCIe Ports | 1 |
| Total Usb Ports | 4 |
| USB 2.0 | 4 |
| Warranty Description | 1 year |

## Product Details

- **Brand:** waveshare
- **CPU Socket:** BGA
- **Chipset Type:** Broadcom BCM2711
- **Compatible Devices:** Raspberry Pi 5, Single-Board Computers
- **Compatible Processors:** Broadcom BCM2711
- **Graphics Card Interface:** PCI Express
- **Main Power Connector Type:** 24-Pin
- **Model Name:** Hailo-8 Acce A
- **Platform:** Linux
- **RAM Memory Technology:** LPDDR4X, LPDDR4

## Images

![Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board - Image 1](https://m.media-amazon.com/images/I/719EZoSv0NL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ It is fast, powerful, challenging to setup, worth it
*by S***6 on October 12, 2025*

It can be difficult to source these modules so this is a great way to get one. I installed mine on my Docker server running Ubuntu on a late-generation Intel CPU, and it drastically accelerated and increased the accuracy of workflows like speech-to-text, visual object recognition, and text-to-speech. Driver install, firmware updates, and software configuration is not for the novice, but otherwise this product has been able to process intensive object detection using XL vision models from multiple 4K cameras, and process speech synthesis and decomposition, all at the same time. I can't recommend it enough.

### ⭐⭐⭐ It's the start of a cluster rack
*by J***A on May 3, 2025*

Not exactly what I thought but still very interesting and there still a lot to learn It is well made and from reliable manufacture

### ⭐⭐⭐⭐⭐ Great item, cost effective way to get this Hailo module.
*by A***L on May 30, 2025*

I purchased this for just the Hailo module. It worked perfectly in an M.2 NVME slot when passed through to a VM with proxmox (note you do have to enable custom VM settings to get it wokring). I have kept the M2 pi hat has i plan to use that with my PI for a nvme drive.

## Frequently Bought Together

- Waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board
- GeeekPi Dual FPC PCIe HAT for Raspberry Pi 5, B12 HAT 1 to 2 PCIe Interface with 40Pin GPIO Pin Header for Raspberry Pi 5
- Waveshare PCIe to 2-CH M.2 HAT, Compatible with Raspberry Pi 5, Support M.2 NVMe Solid State Drive 2230 2242 2280, High-Speed Reading/Writing

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*Product available on Desertcart Thailand*
*Store origin: TH*
*Last updated: 2026-11-01*