Mustang-V100-MX8

Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe gen2 x4 interface, RoHS

  • Overview

    ● Half-Height, Half-Length, Single-slot compact size
    ● Low power consumption ,approximate 25W
    ● Supported OpenVINO™ toolkit, AI edge computing ready device
    ● Eight Intel® Movidius™ Myriad™ X VPU can execute multiple topologies simultaneously.
    Warning: DO NOT install the Mustang-V100-MX8 into the TANK AIoT Dev. Kit before shipment. It is recommended to ship them with their original boxes to prevent the Mustang-V100-MX8 from being damaged.
    In order to increase the compatibility with server grade systems, IEI recommend users to update Mustang-V100-MX8 firmware. If your product's serial number is before 2020 June (ex. Q205XXXXXX stands for 2020 May), please contact with IEI (IEI Technical Support Form), our team will help you to update it.
  • Features

    Mustang-V100-MX8

    Accelerate To The Future

    An Intel® Vision Accelerator Design Product
    Intel® Vision Accelerator Design with Intel® Movidius™ VPU

    Mustang-V100-MX8 vision Accelerator product

    A Perfect Choice for AI Deep Learning Inference Workloads

    mustang-v100-features

    Powered by Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit

    - Half-Height, Half-Length, Single-Slot compact size.
    - Low power consumption ,approximate 2.5W for each Intel® Movidius™ Myriad™ X VPU.
    - Supported Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit, AI edge computing ready device.
    - Eight Intel® Movidius™ Myriad™ X VPU can execute multiple topologies simultaneously.

    OpenVINO™ toolkit

    OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware and maximizes performance.
    It can optimize pre-trained deep learning model such as Caffe, MXNET, Tensorflow into IR binary file then execute the inference engine across Intel®-hardware heterogeneously such as CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA.

    openvino-toolkits-process

    Applications

    machine vision

    Machine Vision

    Smart Retail

    Smart Retail

    Surveillance

    Surveillance

    Medical Diagnostics

    Medical Diagnostics

    IEI Deep Learning Inference Acceleration Card - Mustang-V100

    Dimension

    mustang-v100-accelerator-computer-dimension

    FAQ

    Issue Solution Files
    1. Fail "HDDL_NOT_INITIALIZED"
    Download patch to fix Mustsang can not be reseted in some motherboards issue
    For Linux OS, click here.
     
    For Windows OS, click here.
    2. If install  Mustang  accelerators  VPU quntity not equal to "8"

    Mustang-MPCIE-MX2 (2 VPU),
    Mustang-M2BM-MX2(2 VPU),
    Mustang-V100-MX4(4 VPU),
    two of Mustang-V100-MX8(16 VPU),
    Downloago to change autoboot.config device numbersd patch to fix Mustsang can not be recognized in some motherboards issue
    sudo gedit /opt/intel/openvino_/inference_engine/external/hddl/config/hddl_autoboot.config
    change "total_device_num'" from default "8" to the current quntity!
    ex.
    Mustang-MPCIE-MX2 (2 VPU), "total_device_num"      2
    Mustang-M2BM-MX2(2 VPU), "total_device_num"      2
    Mustang-V100-MX4(4 VPU),     "total_device_num"      4
    two of Mustang-V100-MX8(16 VPU),  "total_device_num"      16
    3. Would like to monitor the performance of each VPU Initial hddldaemon to observe utilization and temperature Document
  • Specifications

    • Hardware Spec.

      Spec Item Description
      System
      ChipsetEight Intel® Movidius™ Myriad™ X MA2485 VPU
      Cooling method / System FanActive fan
      Power
      Power ConsumptionApproximate 25W
      Environment
      Operating Temperature-20°C ~ 60°C
      Humidity5% ~ 90%
      Card Slot Interface
      PCIex4
    • Ordering Info.

      Item No. Description
      Mustang-V100-MX8-R11 Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe gen2 x4 interface, RoHS
    • Package Contents

      • 1 X Full height bracket

      • 1 x External power cable

      • 1 x QIG

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