Choose your language
 

An Intel® Vision Accelerator Design Product

Mustang-V100-MX4

Intel® Vision Accelerator Design with Intel® Movidius™ VPU

A Perfect Choice for AI Deep Learning Inference Workloads

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

  • Compact size PCIe card. (113 x 56 x23 mm)
  • Low power consumption ,approximate 15W for four Intel® Movidius™ Myriad™ X VPU.
  • Supported OpenVINO™ toolkit, AI edge computing ready device
  • Four Intel® Movidius™ Myriad™ X VPU can execute four topologies simultaneously.

OpenVINO™ toolkit

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

Features

  • Operating Systems
    Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit , Windows® 10 64bit
  • OpenVINO™ toolkit
    • Intel® Deep Learning Deployment Toolkit
      • - Model Optimizer
      • - Inference Engine
    • Optimized computer vision libraries
    • Intel® Media SDK
    • Current Supported Topologies: GoogleNetV1/V2, Mobile_SSD,MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2,  ResNet-18/50/101, (more variants are coming soon)
    • High flexibility, Mustang-V100-MX4 develop on OpenVINO™ toolkit structure which allows trained data such as Caffe, TensorFlow, and MXNet to execute on it after convert to optimized IR.

Applications

Dimensions(Unit: mm)

Specifications

Model Name Mustang-V100-MX4
Main Chip 4 x Intel® Movidius™ Myriad™ X MA2485 VPU
Operating Systems Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows® 10 64bit
Dataplane Interface PCIe Gen 2 x 2
Power Consumption 15W
Operating Temperature 0°C~55°C (In TANK AIoT Dev. Kit)
Cooling Active fan
Dimensions 113 x 56 x 23 mm
Operating Humidity 5% ~ 90%
Dip Switch/LED indicator Identify card number
Support Topology AlexNet, GoogleNetV1/V2, Mobile_SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101

Ordering Information

Part No. Description
Mustang-V100-MX4-R10 Computing Accelerator Card with 4x Intel® Movidius™ Myriad™ X MA2485 VPU, PCIe Gen 2 x 2 interface, RoHS

Packing List

1 x Full height bracket

1 x QIG