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Mustang-M2AE-MX1-R10
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Comp. Accelerator

Mustang-M2AE-MX1-R10

Reference -Mustang-M2AE-MX1-R10
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132.00€ Exclu. VAT

Mustang-M2AE-MX1-R10
CA Card/1xMyriad X VPU/M.2 2230/multi-OS

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The Mustang-M2AE-MX1M.2 AE-key card included one Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.
VPU is short for vision processing unit. It can run AI faster, and is well suited for low power consumption applications such as surveillance, retail, transportation. With the advantage of power efficiency and high performance to dedicate DNN topologies, it is perfect to be implemented in AI edge computing device to reduce total power usage, providing longer duty time for the rechargeable edge computing equipment. 

● M.2 AE key form factor (22 x 30 mm)
● 1xIntel® Movidius™ Myriad™ X VPU MA2485 
● Power efficiency, only 2.5W
● Operating Temperature 0° C to 50°C
● Powered by Intel's OpenVINO™ toolkit

 

 

Main Chip
1x 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
<2,5W


Operating Temperature
0°C~50°C (ambient temperature)


Cooling
Passive Heatsink


Dimensions
22 x 30 mm


Operating Humidity
5% ~ 90%


Support Topology
AlexNet, GoogleNet V1/V2/V4, Yolo Tiny V1/V2, YoloV2/V3, SSD300,SSD512, ResNet-18/50/101/152,
DenseNet121/161/169/201, SqueezeNet 1.0/1.1,VGG16/19, MobileNet-SSD, Inception-ResNet-v2,
Inception-V1/V2/V3/V4,SSD-MobileNet-V2-coco,MobileNet-V1-0.25-128, MobileNet-V1-0.50-160,
MobileNet-V1-1.0-224, MobileNet-V1/V2, Faster-RCNN

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