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VEGA-320
m.2 Edge AI Module with one Intel® Movidius™ Myriad™ X VPU onboard

  • Intel® Movidius™ Myriad™ X VPU onboard
  • Ultra compact, Low power consumption
  • Hardware acceleration for common deep neural networks
  • Scalable for multi video streams edge inference
  • 10 times the performance compared to previous generation
  • Intel® OpenVINO™ toolkit fully supported
Intel® Movidius™ Myriad™ X Edge AI Module

Product Specifications Download Spec

  • Part Number
  • Details
Processor
  • SOC
Form Factor
  • Form Factor
Dimensions
  • Dimensions (W x H x D)
Interface
  • Signal Interface
Environment
  • Temperature (Operating)
Power Consumption
  • Power Consumption
Cooling
  • Cooling
Operating System
  • Others
OpenVINO
  • OpenVINO
Framework Support
  • Framework Support

Processor

  • SOC

    VEGA-320-01A1 one Myriad X MA2485

Form Factor

  • Form Factor

    VEGA-320-01A1 M.2 2230 (Key A+E)

Dimensions

  • Dimensions (W x H x D)

    VEGA-320-01A1 22mm x 30mm x 3.63mm

Interface

  • Signal Interface

    VEGA-320-01A1 PCIe Gen2 x1, USB 2.0

Environment

  • Temperature (Operating)

    VEGA-320-01A1 0~45°C, with 0.7 m/s air flow

Power Consumption

  • Power Consumption

    VEGA-320-01A1 3.8W

Cooling

  • Cooling

    VEGA-320-01A1 Passive cooling

Operating System

  • Others

    VEGA-320-01A1 Windows 10 Enterprise 64 bit, Ubuntu 16.04.3 LTS (64 bit), CentOS 7.4 (64 bit)

OpenVINO

  • OpenVINO

    VEGA-320-01A1 OpenVINO R1 2019 or latest

Framework Support

  • Framework Support

    VEGA-320-01A1 TensorFlow, Caffe

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