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Mustang-V100-MX4 [ KC인증 ]

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).
LIST

•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-V100-MX4 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.

 

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 Approximate 15W
Operating Temperature -20°C~65°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, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101
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