• Novinka
    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)
    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)
    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)
    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)

    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)

    WS-27812
    274,80 €

    229.00 € bez DPH

    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)

    Množstvo:
    OUT OF STOCK

    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)

    Hailo-8 M.2 AI Accelerator Module, Based On The 26TOPS Hailo-8 AI Processor, Supports Linux/Windows Systems, Optional For PCIe To M.2 Adapter Board, Suitable For Raspberry Pi 5

    Hailo-8 AI Kit

    Equipped With 26TOPS Hailo-8 M.2 AI Accelerator Module

    This AI kit is launched by Waveshare to provide a more cost-effective and high-performance AI solution for the Raspberry Pi 5, optional for PCIe To M.2 adapter, suitable for applications such as process control, safety, home automation and robotics, etc.

    Hailo-8 M.2 AI Accelerator Module, front viewHailo-8 M.2 AI Accelerator Module, features
    Version Options
    Hailo-8, front view

    Hailo-8
    the Hailo-8 AI M.2 module only

     
    Hailo-8 Acce A, front view

    Hailo-8 Acce A
    Hailo-8 M.2 module + PCIe TO M.2 adapter and accessories (can be directly accessed to Raspberry Pi 5)


    Features At A Glance
    • Hailo-8 AI M.2 module
      • 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
    • PCIe To M.2 adapter
      • Onboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operation
      • Raspberry Pi HAT+ compliant
      • Reserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performance
      • Immersion gold process design, anti-oxidation and more durable

    Hailo-8 AI M.2 Module Parameters
    AI PERFORMANCE 26 TOPS
    FORM FACTOR M.2 Key M
    POWER SUPPLY 3.3V ± 5%
    POWER CONSUMPTION 2.5W (Typ.)
    8.65W (Max.)
    INTERFACE PCIe Gen3, 4-lane
    CERTIFICATE CE, FCC Class A
    STORAGE TEMPERATURE -40 ~ 85°C
    OPERATING TEMPERATURE -40 ~ 85°C
    OPERATING HUMIDITY 5% ~ 90%RH (no frosting)
    DIMENSIONS 22×80mm with breakable extensions to 22×42mm and 22×60mm

    Equipped With Hailo-8 AI Accelerator To Step Up Your Edge Product Performance

    The Hailo-8 M.2 module is an AI accelerator module for AI applications, based on the 26 tera-operations per second (TOPS) Hailo-8 AI processor with high power efficiency. The M.2 AI accelerator features a full PCIe Gen-3.0 4-lane interface, delivering unprecedented AI performance for edge devices. 

    The M.2 module can be plugged into an existing edge device with M.2 socket to provide low-power deep neural network inferencing. Leveraging Hailo's comprehensive Dataflow Compiler and its support for standard AI frameworks, customers can easily port their Neural Network models to the Hailo-8 and introduce high-performance AI products to the market quickly.

    Hailo-8 M.2 AI Accelerator Module, equipped with Hailo-8 AI Accelerator

    Hailo-8 Performance Parameters
    NN MODEL INPUT RESOLUTION MAP HAILO-8L FPS
    (BATCH8)
    yolov4_tiny yolov4_tiny 18.98 610
    yolov6n yolov6n 34.3 345
    yolov7 yolov7 49.8 45
    yolox_s_wide yolox_s_wide 42.4 75
    yolov3 yolov3 38 26
    yolov8n yolov8n 37.23 270
    yolov8s yolov8s 44.75 128
    yolov8m yolov8m 50.08 55

    TYPE NN MODEL INPUT RESOLUTION FPS POWER(W) FPS/W
    CLASSIFICATION ResNet-50 v1 224x224 1332 3.45 386
    MobileNet_v2_1.0 224x224 2444 2.152 1135
    EfficientNet_M 240x240 889 3.5 254
    OBJECT DETECTION SSD_MobileNet_v1 300x300 1055 2.2 479
    YOLOv5m 640x640 218 4.6 47.3
    SEGMENTATION stdc1 1024x1920 54 2.9 18.6
    MULTI STREAM OBJECT DETECTION (8 STREAMS) YOLOv3 608x608 69 4.9 14

    Connecting To PI5 Via 16PIN Cable

    Based On 16PIN PCIe Interface Of Raspberry Pi 5

    Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, connecting to PI5 via 16PIN cable
    Tailored For Raspberry Pi 5

    Standard Raspberry Pi 40PIN Header, Comes With 2*20 Pin Header For Stacking With Other HATs. Compact Size, More Space-Saving, Supports Installing Cooling Fan

    Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, tailored for Raspberry Pi 5


    Reserved Airflow Vent For Cooling Fan

    Can Be Used Together With The Pi5 Active Cooler B To Achieve Better Heat Dissipation Effect For The Pi5 And AI Accelerator Module, Keeping It Cool Even Under Heavy Processing And Maximizing The Module Performance

    Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, reserved airflow vent for Cooling Fan

    Onboard Power Monitoring Chip And EEPROM

    Real-Time Monitoring Of Device Power Status For More Stable Operation

    Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, onboard power monitoring chip and EEPROM

    How To Install
    Hailo-8 M.2 AI Accelerator Module with PCIe TO M.2 HAT+, how to Install

    * for reference only, the cooling fan is NOT included.


    Applied In The AI Field
    Hailo-8 M.2 AI Accelerator Module, applied in the AI field

    Outline Dimensions
    Hailo-8 M.2 AI Accelerator Module and PCIe TO M.2 HAT+ dimensions
    Resources & Services
    res_banner.png
    Wiki: www.waveshare.com/wiki/Hailo-8

    Balenie Obsahuje / Package Content

    Hailo-8 AI M.2 Module ×1

    Hailo-8 M.2 AI Accelerator Module

    Waveshare Electronics
    WS-27812

    Špecifické referencie

    Hailo-8 M.2 AI Accelerator Module, 26TOPS Hailo-8 AI Processor, Optional For PCIe To M.2 for Raspberry Pi 5 (WS-27812)

    274,80 €

    229.00 € bez DPH