Mustang-V100-MX4
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1.1 Introduction
Figure 1-1: Mustang-V100-MX4
The Mustang-V100-MX4 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-V100-MX4 PCIe 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-V100-MX4
Page 2: ...Mustang V100 MX4 Page II Revision Date Version Changes July 22 2019 1 00 Initial release ...
Page 9: ...Mustang V100 MX4 Page 1 Chapter 1 1 Introduction ...
Page 14: ...Mustang V100 MX4 Page 6 Chapter 2 2 Unpacking ...
Page 17: ...Mustang V100 MX4 Page 9 Chapter 3 3 Hardware Installation ...
Page 23: ...Mustang V100 MX4 Page 15 Chapter 4 4 OpenVINO Toolkit Installation Linux ...
Page 52: ...Mustang V100 MX4 Page 44 Chapter 5 5 OpenVINO Toolkit Installation Windows 10 ...
Page 93: ...Mustang V100 MX4 Page 85 Appendix A A Performance Test ...
Page 95: ...Mustang V100 MX4 Page 87 Appendix B B Regulatory Compliance ...
Page 97: ...Mustang V100 MX4 Page 89 C Product Disposal Appendix C ...
Page 99: ...Mustang V100 MX4 Page 91 Appendix D D Hazardous Materials Disclosure ...