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Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows
Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows
Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows
Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows
Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows
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 26TOPS Hailo8 Support Linux/Windows
Item #: 181476783

Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows

Item #: 181476783

BZD 589

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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 26TOPS Hailo8 Support Linux/Windows online at a best price in Belize. B0FWX9PKPD
CPU ModelOthers
Connectivity TechnologyPCIe Gen3, 4-lane
Operating SystemLinux, Windows 10
Processor BrandHailo
Compatible DevicesRaspberry Pi 5
RAM Memory TechnologyLPDDR4
Processor Count1
BrandUnistorm
Model NameHailo-8 M.2 AI Accelerator Module
Built-In MediaUser Manual
UPC797465078001
ManufacturerUNISTORM
Model NumberHailo-8
Mfr Part NumberHailo-8
Included ComponentsUser Manual
Item Weight0.2 lbs (90 grams)

What's in the box

User Manual

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.

Product Description

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 Acceleration Sensors Hailo-8 Editorial Review

Hailo-8 M.2 AI Accelerator Module 26TOPS Hailo8 Support Linux/Windows is an impressive piece of hardware offering significant processing power for AI applications, particularly in image analysis and inference tasks. Many users have reported successful integration with their setups, including those using Proxmox and Debian, although there are challenges with manual device ID configuration. The device excels at offloading inference tasks from the CPU, allowing other applications to run more smoothly. However, it’s worth noting that some users have raised concerns about its performance, suggesting that under certain conditions, it may not reach its full potential of 26TOPS, as indicated by issues in comparison to other manufacturers. Additionally, while the product is flexible, it is not suited for LLMs.

Customer Reviews & Ratings

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Pros

  • Significant processing power for AI applications
  • Integrates well with Proxmox and Debian
  • Great for image analysis and inference tasks
  • Lightweight at only 0.2 lbs
  • Compatible with Raspberry Pi 5

Cons

  • Integration requires manual device ID adjustment in some setups

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