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Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 Support Linux/Windows Systems Based On The 26TOPS Hailo-8 AI Processor
Unlock unprecedented AI performance for your edge devices with the Hailo-8 M.2 module, delivering 26 TOPS and 2.5W power consumption.
Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 Support Linux/Windows Systems Based On The 26TOPS Hailo-8 AI Processor
Item #: 181476783

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

Item #: 181476783

TTD 1872

Price Details

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*All items will import from US

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Unlock unprecedented AI performance for your edge devices with the Hailo-8 M.2 module, delivering 26 TOPS and 2.5W power consumption.
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What Stands Out

High Performance
Delivering an impressive 26 TOPS, the Hailo-8 M.2 AI accelerator module significantly enhances AI processing, providing power users with exceptional speed and efficiency for demanding applications.
Raspberry Pi Compatibility
Seamlessly integrates with Raspberry Pi 5, empowering users to upgrade their projects with advanced AI capabilities, making it an ideal choice for hobbyists and developers.
Multi-OS Support
Compatible with both Linux and Windows systems, this versatile accelerator module allows flexibility in development environments, catering to a diverse range of user preferences and project requirements.

Product Details

Shop Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 Support Linux/Windows Systems Based On The 26TOPS Hailo-8 AI Processor online at a best price in Trinidad and Tobago. B0FWX9PKPD
Item Weight0.2 lbs (90 grams)

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Users interested in developing AI applications can leverage the Hailo-8's powerful processing capabilities for innovative projects.

  • Developers

    Software developers can utilize this module for prototyping and testing machine learning models using Raspberry Pi 5 environments.

  • Educational Institutions

    Schools and universities can use this accelerator for teaching AI and machine learning concepts in hands-on projects.

Not Suitable For
  • Casual Users

    Individuals who are not tech-savvy may find it challenging to set up and utilize this advanced AI module effectively.

  • Basic Computing Needs

    Users seeking simple computing tasks will not benefit from the high-performance capabilities that the Hailo-8 module offers.

  • Budget-Conscious Buyers

    This product may not be suitable for users on a tight budget, as advanced AI hardware often comes with a premium price.

Product Description

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

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is the power consumption of the Hailo-8 M.2 module?

    Answer: The typical power consumption is 2.5W, with a maximum of 8.65W.
  • Question: Which AI frameworks are supported by this module?

    Answer: It supports TensorFlow, TensorFlow Lite, ONNX, Keras, and Pytorch frameworks.
  • Question: What temperature range can the Hailo-8 module operate in?

    Answer: It can operate in a temperature range of -40°C to 85°C.

Unistorm Internal Components Editorial Review

The Hailo-8 M.2 AI Accelerator Module has garnered a positive reception from users, particularly those who are integrating it into their existing systems like Raspberry Pi 5. The performance aspects stand out, especially its capacity for image analysis and inference tasks, which the device handles impressively. Users have noted how it significantly alleviates CPU load, particularly in applications such as video detection via Frigate, highlighting its efficiency and speed during inference. Setting up the Hailo-8 with platforms such as Proxmox and Debian seems to be manageable, though it may require some technical know-how to navigate driver installation and configuration. Users mentioned the need for manual updates to device IDs within Proxmox, which could pose a challenge for less experienced users. Furthermore, while the base software is open-source, the proprietary nature of some necessary code and file formats may limit accessibility for developers who rely on fully open-source solutions. Overall, the customer experience indicates a robust tool for specific AI applications, especially in image processing, provided that users are prepared to engage with some of its technical complexities. **

Customer Reviews & Ratings

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Pros

  • Excellent performance for image analysis and inference tasks.
  • Reduces CPU load significantly when integrated with applications like Frigate.
  • Fast processing speed with provided code and libraries.

Cons

  • Technical setup may require effort and knowledge, particularly with driver installation.

Product Price History

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