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 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 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 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 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 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 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
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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 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 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 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 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 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 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
Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices.
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
Lambar abu: 91186527

waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI

88% of respondents would recommend this to a friend

Lambar abu: 91186527

XOF 187271

Price Details

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*All items will import from Ƙasar Amurika US

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What Stands Out

High Performance
Featuring 26TOPS of processing power, the Hailo-8 AI Accelerator delivers outstanding performance for AI applications, ensuring quick and efficient processing for users focused on advanced ML tasks.
Broad Compatibility
Designed to seamlessly integrate with Raspberry Pi 5 and supports both Linux and Windows systems, offering versatility and ease of use for developers and hobbyists in various environments.
Compact Design
The M.2 form factor of the Waveshare Hailo-8 module provides a sleek and space-efficient solution, making it ideal for compact projects without compromising on power and functionality.

Bayanin samfur

Shop 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 at a best price in Niger. B0D928WG5L
Connectivity TechnologyPCIe
Operating SystemLinux, Windows
Compatible DevicesRaspberry Pi 5
RAM Memory TechnologyLPDDR4
Brandwaveshare
Model NameHailo-8
Built-In MediaHailo-8 AI M.2 Module ×1
Number of Packs1
Number of Items1
Unit Count1 Count
ManufacturerWaveshare
Model NumberHailo-8
Mfr Part NumberHailo-8
Included ComponentsHailo-8 AI M.2 Module ×1
Item Weight0.5 lbs (230 grams)

What's in the box

Hailo-8 AI M.2 Module ×1

Who Should Buy?

Suitable For
  • AI Developers

    Ideal for developers focused on AI applications, providing high processing power for deep learning tasks.

  • Raspberry Pi Users

    Perfect for Raspberry Pi enthusiasts who want to enhance their projects with powerful AI capabilities.

  • Edge Computing

    Suitable for users working on edge AI applications, thanks to its efficient processing and low power consumption.

Not Suitable For
  • Casual Users

    Not suitable for casual users who do not require advanced AI functionalities in their projects.

KWATANCEN ABUN

Kuna da wata tambaya? Yi taɗi da mu

Tambayoyi & Amsoshi Abokin Ciniki

  • Tambaya: What is the Waveshare Hailo-8 M.2 AI Accelerator Module?

    Amsa: The Waveshare Hailo-8 M.2 AI Accelerator Module is a compact AI processor designed for efficient machine learning tasks. It is based on the Hailo-8 AI Processor, which delivers impressive performance with 26 TOPS (Tera Operations Per Second). This module is specifically compatible with Raspberry Pi 5 systems, making it ideal for developers looking to enhance their AI applications on a small form factor device.
  • Tambaya: How does the Hailo-8 AI Processor improve machine learning performance?

    Amsa: The Hailo-8 AI Processor stands out due to its high throughput and low power consumption, allowing it to handle complex AI workloads effectively. This makes it suitable for applications such as computer vision, natural language processing, and other AI-driven tasks. With the added processing capability, developers can run multiple models simultaneously, enhancing real-time decision-making in their projects.
  • Tambaya: Which operating systems are supported by the Hailo-8 AI module?

    Amsa: The Hailo-8 M.2 AI Accelerator Module supports both Linux and Windows operating systems, offering flexibility for software development in diverse environments. This cross-platform compatibility allows developers to choose based on their project requirements, whether they are building on a Raspberry Pi for educational purposes or developing a robust AI application for a commercial product.
  • Tambaya: Can I use the Hailo-8 Module for edge computing applications?

    Amsa: Yes, the Hailo-8 Module is highly suitable for edge computing due to its high processing capabilities combined with low power consumption. This makes it ideal for running AI applications directly on edge devices, allowing real-time data processing and decision-making without the need for continuous cloud connectivity. Use cases include smart surveillance systems, autonomous vehicles, and IoT applications.
  • Tambaya: What are some practical applications of the Waveshare Hailo-8 M.2 Module?

    Amsa: Practical applications of the Waveshare Hailo-8 Module include image recognition, object detection, and face recognition—all critical for developing smart systems. For example, you can use it in robotics to enhance visual understanding, or in healthcare for medical imaging analysis. The possibilities are extensive, making it a versatile choice for numerous AI-driven projects.
  • Tambaya: Is the Hailo-8 Module suitable for beginners?

    Amsa: While the Hailo-8 Module is powerful, beginners may find it challenging without prior experience in AI and hardware integration. However, many resources and community forums are available to help newcomers get started. Utilizing tutorials can also smooth the learning curve, making it feasible for those eager to delve into AI development with Raspberry Pi.
  • Tambaya: What kind of projects can benefit from using the Hailo-8 Accelerator?

    Amsa: Projects that involve real-time data processing, such as robotics, smart home devices, and industrial automation, can greatly benefit from the Hailo-8 Accelerator. For instance, it can enhance a Raspberry Pi-based robot's ability to navigate and interact with its environment intelligently or improve the accuracy of sensor-based monitoring systems.
  • Tambaya: How do I set up the Hailo-8 Module with Raspberry Pi 5?

    Amsa: To set up the Hailo-8 Module with Raspberry Pi 5, first ensure that you have the necessary software packages installed on your Raspberry Pi. After securely connecting the module to the M.2 slot, follow provided installation guidelines specific to your operating system for compiling drivers and running sample code. The setup generally involves configuring the environment for optimal performance.
  • Tambaya: Are there any specific requirements for using the Hailo-8 Module?

    Amsa: Yes, using the Waveshare Hailo-8 Module requires a compatible M.2 slot on your Raspberry Pi 5 and the necessary power supply to ensure proper functionality. Additionally, users should have some familiarity with programming and AI concepts to fully leverage the module’s capabilities. For optimal use, checking compatibility before purchasing is advisable.
  • Tambaya: Where can I buy Waveshare Hailo-8 M.2 AI Accelerator Module in Niger?

    Amsa: In Niger, you can purchase the Waveshare Hailo-8 M.2 AI Accelerator Module through Ubuy. Ubuy offers a reliable platform for tech enthusiasts looking to acquire innovative hardware like this accelerator module, making it an excellent choice for your purchase needs.

waveshare Motherboards Hailo-8 Editorial Review

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; This powerful accelerator is designed for those who need exceptional performance, boasting a processing capability of 26 TOPS, which impressively translates to low power consumption while managing real-time tasks like person detection. Users appreciate its performance-per-watt efficiency and stable runtime that ensures predictable latency, making it suitable for continuous operation. However, potential buyers should be prepared for a learning curve associated with its toolchain and model optimization, which may require familiarity with quantization and dataflow concepts. Some users noted challenges with initial setup, especially regarding compatibility. Overall, it's a versatile device with good integration for Raspberry Pi applications.

Customer Reviews & Ratings

36 Ƙimar da abokan ciniki suka bayar
  • 5 Tauraruwa
    86%
  • 4 Tauraruwa
    5%
  • 3 Tauraruwa
    3%
  • 2 Tauraruwa
    0%
  • 1 Tauraruwa
    6%

Yi bitar akan wannan Samfurin

Faɗan wa sauran Abokan ciniki ra'ayin ka

Ribobi

  • excellent performance per watt
  • stable runtime for 24/7 operation
  • no cloud dependency enhances privacy
  • good integration with Raspberry Pi
  • supports real-time video processing

Fursunoni

  • requires knowledge of quantization for optimal use

Platform Trust & Buyer Confidence

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“Great products and very good service: very easy and very fast international delivery.”

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“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
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“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
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Product Price History

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XOF 187271

Yi Oda yanzu, a samu nan da Talata, Satumba 29

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Fasaloli & Fa'idoji

  • Powered by cutting-edge 26 TOPS Hailo-8 AI Processor.
  • Low power consumption at just 2.5W.
  • Scalable solution for multi-stream and multi-model processing.
  • Supports major AI frameworks including TensorFlow and PyTorch.
  • Compatible with both Linux and Windows operating systems.
  • Operational in extreme temperature ranges from -40°C to 85°C.

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