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Mustang-M2BM-MX2
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1.1 Introduction
Figure 1-1: Mustang-M2BM-MX2
The Mustang-M2BM-MX2 is a deep learning convolutional neural network acceleration
card for speeding up AI inference, in a flexible and scalable way. Equipped with Intel®
Movidius™ Myriad™ X Vision Processing Unit (VPU), the Mustang-M2BM-MX2 M.2 card
can be used with the existing system, enabling high-performance computing without
costing a fortune. VPUs can run AI faster, and is well suited for low power consumption
applications such as surveillance, retail and 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.
"Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit" is based on
convolutional neural networks (CNN), the toolkit extends workloads across Intel®
hardware and maximizes performance. It can optimize pre-trained deep learning model
such as Caffe, MXNET, Tensorflow into IR binary file then execute the inference engine
across Intel®-hardware heterogeneously such as CPU, GPU, Intel® Movidius™ Myriad X
VPU, and FPGA.
Summary of Contents for Mustang-M2BM-MX2
Page 2: ...Mustang M2BM MX2 Page II Revision Date Version Changes July 23 2019 1 00 Initial release...
Page 9: ...Mustang M2BM MX2 Page 1 Chapter 1 1 Introduction...
Page 13: ...Mustang M2BM MX2 Page 5 Chapter 2 2 Unpacking...
Page 16: ...Mustang M2BM MX2 Page 8 Chapter 3 3 Hardware Installation...
Page 20: ...Mustang M2BM MX2 Page 12 Chapter 4 4 OpenVINO Toolkit Installation Linux...
Page 49: ...Mustang M2BM MX2 Page 41 Chapter 5 5 OpenVINO Toolkit Installation Windows 10...
Page 90: ...Mustang M2BM MX2 Page 82 Appendix A A Performance Test...
Page 92: ...Mustang M2BM MX2 Page 84 Appendix B B Regulatory Compliance...
Page 94: ...Mustang M2BM MX2 Page 86 C Product Disposal Appendix C...
Page 96: ...Mustang M2BM MX2 Page 88 Appendix D D Hazardous Materials Disclosure...