---
product_id: 787709671
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, Module Only"
brand: "waveshare"
price: "2214 Lei"
currency: RON
in_stock: true
reviews_count: 5
category: "Waveshare"
url: https://www.desertcart.ro/products/787709671-hailo-8-m-2-ai-accelerator-module-compatible-with-raspberry
store_origin: RO
region: Romania
---

# 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, Module Only

**Brand:** waveshare
**Price:** 2214 Lei
**Availability:** ✅ In Stock

## Summary

> 🚀 Power your edge AI revolution with the Hailo-8 M.2 — where speed meets efficiency!

## 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, Module Only by waveshare
- **How much does it cost?** 2214 Lei with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ro](https://www.desertcart.ro/products/787709671-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

- • **Edge AI, Zero Latency:** Experience real-time, multi-stream AI processing that keeps your projects ahead of the curve.
- • **Power-Efficient AI Muscle:** Maximize performance with minimal 2.5W power draw—smart tech that’s kind to your energy bill.
- • **Blazing 26 TOPS Performance:** Unleash cutting-edge AI inferencing at lightning speed with the Hailo-8 processor.
- • **Cross-Platform Compatibility:** Seamlessly integrates with Raspberry Pi 5, Linux, and Windows for versatile deployment.
- • **Robust Industrial-Grade Reliability:** Operates flawlessly from -40°C to 85°C, built to thrive in any environment.

## Overview

The Waveshare Hailo-8 M.2 AI Accelerator Module is a compact, high-performance AI processor delivering 26 TOPS of inferencing power at just 2.5W. Compatible with Raspberry Pi 5 and supporting Linux and Windows, it enables real-time, multi-model AI processing on edge devices. Designed for industrial reliability with a wide temperature range, it supports major AI frameworks like TensorFlow and PyTorch, making it the go-to choice for next-gen AI applications.

## 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, Module Only online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: Die Karte läuft wirklich schnell und ist super für kleinere lokale Anwendungen. Ich nutze diesen Chip zum Beispiel für lokale Objekt Erkennung mit mehreren Kameras unter Frigate. Beachtet allerdings dass ihr aktuell noch die Treiber teilweise von Hand Kompiliert werden müssen unter einigen Linux Derivaten. Ebenfalls solltet ihr eine M.2 Adapter Platte / Platine mitbestellen, da die Karte sehr kurz ist und in den meisten Mainboard nur mit Verlängerung bzw. Adapter in die Standoffs der M.2 Slots passt. Die Leistungsaufnahme ist super gering für die Rechenleistung
Review: Todo perfecto

## 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 | B0D928WG5L |
| Best Sellers Rank | #50,335 in Computers ( See Top 100 in Computers ) #692 in Single-Board Computers |
| Brand | Waveshare |
| Built-In Media | Hailo-8 AI M.2 Module ×1 |
| Compatible Devices | Raspberry Pi 5 |
| Compatible devices | Raspberry Pi 5 |
| Customer Reviews | 4.4 out of 5 stars 24 Reviews |
| Included components | Hailo-8 AI M.2 Module ×1 |
| Manufacturer | Waveshare |
| Mfr Part Number | Hailo-8 |
| Model Name | Hailo-8 |
| Model Number | Hailo-8 |
| Model name | Hailo-8 |
| RAM Memory Technology | LPDDR4 |
| Ram memory technology | LPDDR4 |
| Unit Count | 1 Count |

## Product Details

- **Brand:** Waveshare
- **Graphics RAM type:** GDDR6
- **Graphics co-processor:** Integrated Graphics
- **Graphics processor manufacturer:** Intel or AMD
- **Video output interface:** HDMI, DisplayPort

## 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, Module Only - Image 1](https://m.media-amazon.com/images/I/51KY-5AecgL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by D***G on 28 January 2026*

Die Karte läuft wirklich schnell und ist super für kleinere lokale Anwendungen. Ich nutze diesen Chip zum Beispiel für lokale Objekt Erkennung mit mehreren Kameras unter Frigate. Beachtet allerdings dass ihr aktuell noch die Treiber teilweise von Hand Kompiliert werden müssen unter einigen Linux Derivaten. Ebenfalls solltet ihr eine M.2 Adapter Platte / Platine mitbestellen, da die Karte sehr kurz ist und in den meisten Mainboard nur mit Verlängerung bzw. Adapter in die Standoffs der M.2 Slots passt. Die Leistungsaufnahme ist super gering für die Rechenleistung

### ⭐⭐⭐⭐⭐ Review
*by A***S on 9 April 2026*

Todo perfecto

### ⭐⭐⭐⭐⭐ Review
*by J***N on 29 June 2025*

So far I am happy with this and Frigate. I was running BlueIris on a PC with a GTX1050 where inference times were around 120-175ms on my cameras. I wanted to switch to Frigate and use the GPU for something else. It's reporting 10-20ms inference times and is noticably faster on notifications. Thats even using the full 2k stream on 2 of my cameras and it identifies people much further away. I had read in forums that people were able to use this with a usb-c adapter but I wasn't able to get that working. I had to swap drives since the mini PC only had 1 nvme and 1 SATA m.2 slot, and this will only work in the nvme slot. Overall I'm happy with it so far.

## 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, Module Only
- 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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**Shop now:** [https://www.desertcart.ro/products/787709671-hailo-8-m-2-ai-accelerator-module-compatible-with-raspberry](https://www.desertcart.ro/products/787709671-hailo-8-m-2-ai-accelerator-module-compatible-with-raspberry)

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*Product available on Desertcart Romania*
*Store origin: RO*
*Last updated: 2026-06-18*