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Mustang-M2BM-MX2 - Vision Accelerator Card with Intel Movidius VPU

PCIe Vision Accelerator Card with 2 x Movidius VPU
Datasheet

Mustang-M2BM-MX2

Intel® Vision Accelerator Design with Intel® Movidius™ VPU

prod-M2BM-MX2

A Perfect Choice for AI Deep Learning Inference Workloads

Features

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

  • Compact size M.2 2280 card. (22x80mm)
  • Low power consumption, approximate 7.5W for two Intel® Movidius™ Myriad™ X VPU.
  • Supported OpenVINO™ toolkit, AI edge computing ready device
  • Two Intel® Movidius™ Myriad™ X VPU can execute two topologies simultaneously.

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, 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-M2BM-MX2 develop on OpenVINO™ toolkit structure which allows trained data such as Caffe, TensorFlow, and MXNet to execute on it after convert to optimized IR.

combo-M2BM-MX2

 

 

Applications  

application-scenario-1.png application-scenario-2.png
Machine Vision Smart Retail
application-scenario-3.png application-scenario-4.png
Surveillance Medical Diagnostics

 

Specification

Model Name Mustang-V100-MX4 Mustang-MPCIE-MX2 Mustang-M2AE-MX1 Mustang-M2BM-MX2
Main Chip 4 x Intel Movidius Myriad X MA2485 VPU 2 x Intel Movidius Myriad X MA2485 VPU 1 x Intel Movidius Myriad X MA2485 VPU 2 x Intel Movidius Myriad X MA2485 VPU
Operating Systems Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows 10 64bit Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows 10 64bit Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows 10 64bit Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows 10 64bit
Dataplane Interface PCIe Gen 2 x 2 miniPCIe M.2 AE Key M.2 BM Key
Power Consumption 15W Approximate 7.5W Approxinate 5W Approxinate 7.5W
Operating Temperature 0°C~55°C (In TANK AIoT Dev. Kit) 0°C~55°C (In TANK AIoT Dev. Kit) 0°C~55°C (In TANK AIoT Dev. Kit) 0°C~55°C (In FLEX-BX200)
Cooling Active fan Passive/Active Heatsink Passive Heatsink Passive Heatsink
Dimensions 113 x 56 x 23 mm 30 x 50 mm 22 x 30 mm 22 x 80 mm
Support Topology AlexNet, GoogleNetV1/V2, Mobile_SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101 AlexNet, GoogleNetV1/V2, Mobile_SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101 AlexNet, GoogleNetV1/V2, Mobile_SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/1015% ~ 90% AlexNet, GoogleNetV1/V2, Mobile_SSD, MTCNN, Squeezenet 1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101
Operating Humidity 5% ~ 90% 5% ~ 90% 5% ~ 90% 5% ~ 90%

*Standard PCIe slot provides 75W power, this feature is preserved for user in case of different system configuration

 

Ordering Information

Part No. Description
Mustang-V100-MX8-R10 Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe Gen2 x4 interface, RoHS
Mustang-V100-MX4-R10 Computing Accelerator Card with 4x Intel Movidius Myriad X MA2485 VPU, PCIe Gen 2 x 2 interface, RoHS
Mustang-MPCIE-MX1 Deep learning inference accelerating miniPCIe card with 2 x Intel Movidius Myriad X MA2485 VPU, miniPCIe interface 30mm x 50mm, RoHS
Mustang-M2AE-MX1 Computing Accelerator Card with 1 x Intel Movidius Myriad X MA2485 VPU,M.2 AE key interface, 2230, RoHS
Mustang-M2BM-MX2-R10 Deep learning inference accelerating M.2 BM key card with 2 x Intel Movidius Myriad X MA2485 VPU, M.2 interface 22mm x 80mm, RoHS

 


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