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IEI Mustang-M2AE-MX1 – Vision Accelerator Card – Mustang-M2AE-MX1

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• IEI – Mustang-M2AE-MX1 – Vision Accelerator Card – Movidious – MA2485 VPU

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

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SKU: Mustang-M2AE-MX1 Categories: , Tags: , , , , , , , , , ,

Description

Mustang-M2AE-MX1

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 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).

toolkit process pic pc 1

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

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-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 Approxinate 5W
Operating Temperature 0°C~55°C (In TANK AIoT Dev. Kit)
Cooling Passive Heatsink
Dimensions 22 x 30 mm
Support Topology AlexNet, GoogleNetV1/V2, Mobile_SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/1015% ~ 90%
Operating Humidity 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

Datasheet

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If you cant find an off the shelf product that meets your specific requirements speak with our in house design team who can design a new product from start to finish.

 

Design | Develop | Test | Manufacture

Here’s a selection of our design, manufacturing

& associated services: –

 

Design to Order: OEM/ODM Embedded Product Design Services

For customers designing a brand-new product from scratch or working with an existing prototype.DesignToOrder

  • FREE Pre-design / Pre-sales advise
  • Prototyping – Custom PC Design, Custom Panel PC, Custom Racks or Custom Peli Case PC
  • Prototyping pre checks (chargeable one-time fee for existing prototype)
    • Hardware compatibility
    • Thermal testing
    • Software compatibility
  • Custom PCB / Board Design
  • Custom Chassis Design
  • Custom Cables
  • Custom Back Panels and Faceplates
  • Custom Cooling
  • Custom Metal Work (internal brackets, mounting brackets)
  • Touchscreen Integration and Display Enhancements
  • Software – Custom OS Image

Build to Order: Embedded Computer Design and Customisation Services​

Take an existing system and we can:BuildToOrder

  • Custom specification (CPU, Ram, I/O, Storage)
  • Chassis customisation and branding
  • Custom BIOS
  • Software – Custom OS Image
  • Custom Packaging and branding
  • Integrating newly designed or existing hardware into a larger system

Build to order Racks and Towers, Peli Case PCs and Mini-ITX PCs

Embedded Software Services : Configuration, Integration and Deployment

Porting, Integration & DeploymentEmbeddedSoftware

  • Windows image capture from customers HDD
  • Linux image capture from customers HDD
  • Windows / Linux Deployment from customers image
  • Custom Windows images, create and deploy
  • Update management
  • Custom Linux and Android images?
  • Custom BIOS

Manufacturer : IEI

 

Card Type

  • Card Interface Type : M.2
  • Card Function : Vision Accelerator
  • Card Capture Resolution :
  • Card Capture FPS :

CPU

  • Powered By : Intel
  • CPU Model : MA2485 VPU
  • CPU Speed :
  • CPU Cores :

Memory

  • Memory Installed :
  • Memory Slots :
  • Memory Type :

I/O and Expansion

  • Expansion Slots :
  • LAN Ports :
  • Serial Ports :
  • USB 2 Ports :
  • USB 3 Ports :
  • USB 3.1 Ports :
  • Video Output :
  • Multi Display :
  • Wireless Connectivity :

Operating System

  • OS : Linux, Windows

Certifications

  • Certifications :

Industry

  • Industry : Industrial Automation and Control, Medical, Military, Transport - Road, Transport and Smart City

Categories : ,

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