I-Mustang-M2AE-MX1

Intel® Vision Accelerator Design with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230, RoHS

Anewtech-Mustang-M2AE-MX1

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

Specification

Anewtech-Mustang-M2AE-MX1-features

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.

Intel® Distribution of OpenVINO™ toolkit

Anewtech-intel-open-vino-vision-design-card

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).

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