The Mustang-MPCIE-MX2 card included two 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.
● Native FP16 support
● Rapidly port and deploy neural networks in Caffe and Tensorflow formats
● End-to-End acceleration for many common deep neural networks
● Industry-leading Inferences/S/Watt performance
Main Chip
2x Intel® Movidius™ Myriad™ X MA2485 VPU
Operating Systems
Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows®10 64bit
Dataplane Interface
miniPCIe
Power Consumption
<5W
Operating Temperature
0°C~50°C (ambient temperature)
Cooling
Passive Heatsink
Dimensions
30 x 50 mm
Operating Humidity
5% ~ 90%
Support Topology
AlexNet, GoogleNet V1/V2/V4, Yolo Tiny V1/V2, Yolo
V2/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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