IEI Launches Computing Accelerator Card for Image Processing - Mustang-M2AE-MX1

Nov 27, 2019

IEI Event News
Features Introduction Dimensions
Specifications Ordering Information

M.2 AE key form factor (22 x 30 mm)

1 x Intel® Movidius™ Myriad™ X VPU MA2485

Power efficiency, approximate 5W

Operating Temperature -20°C to 60°C

Powered by Intel's OpenVINO™ toolkit



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.

Key Features of Intel® Movidius™ Myriad™ X VPU:

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


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 Approximate 5W
Operating Temperature -20° C to 60°C
Cooling Active Heatsink
Dimensions 22 x 30 mm
Operating Humidity 5% ~ 90%
Support Topology 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.

Ordering Information
Part No. Description
Mustang-M2AE-MX1-R10 Computing Accelerator Card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230, RoHS