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A Perfect Choice for AI Deep Learning Inference Workloads

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

  • Compact size M.2 2230 card. (22 x 30mm)
  • Low power consumption ,approximate 5W for one Intel® Movidius™ Myriad™ X VPU.
  • Supported OpenVINO™ toolkit, AI edge computing ready device

Intel® Distribution of OpenVINO™ toolkit

Intel® Distribution of OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across multiple types of Intel® platforms and maximizes performance.

It can optimize pre-trained deep learning models such as Caffe, MXNET, and ONNX Tensorflow. The tool suite includes more than 20 pre-trained models, and supports 100+ public and custom models (includes Caffe*, MXNet, TensorFlow*, ONNX*, Kaldi*) for easier deployments across Intel® silicon products (CPU, GPU/Intel® Processor Graphics, FPGA, VPU).

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: AlexNet, GoogleNetV1/V2, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101
    * For more topologies support information please refer to Intel® OpenVINO™ Toolkit official website.
  • High flexibility, Mustang-M2AE-MX1 develop on OpenVINO™ toolkit structure which allows trained data such as Caffe, TensorFlow, MXNet, and ONNX to execute on it after convert to optimized IR.

Applications

Dimensions(Unit: mm)

Specifications

Model Name Mustang-M2AE-MX1
Main Chip 1 x Intel® Movidius™ Myriad™ X MA2485 VPU
Operating Systems Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows® 10 64bit
Dataplane Interface M.2 AE Key
Power Consumption Approximate 5W
Operating Temperature -20°C~60°C
Cooling Active Heatsink
Dimensions 22 x 30 mm
Operating Humidity 5% ~ 90%
Support Topology AlexNet, GoogleNetV1/V2, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101
* For more topologies support information please refer to Intel® OpenVINO™ Toolkit official website. [Supported Models] [Supported Framework Layers]

Ordering Information

Part No. Description
Mustang-M2AE-MX1 Computing Accelerator Card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230, RoHS