IEI Technology Mustang-V100-MX8 Manuel utilisateur
Mustang-V100-MX8
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User Manual
MODEL:
Intel®Vision Accelerator Design with Intel®Movidius™ VPU
Powered by Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit
Rev. 1.00 - October 5, 2018
Mustang-V100-MX8
Mustang-V100-MX8 CPU Ca
Mustang-V100-MX8
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Revision
Date Version Changes
October 5, 2018 1.00 Initial release
Mustang-V100-MX8
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Copyright
COPYRIGHT NOTICE
The information in this document is subject to change without prior notice in order to
improve reliability, design and function and does not represent a commitment on the part
of the manufacturer.
In no event will the manufacturer be liable for direct, indirect, special, incidental, or
consequential damages arising out of the use or inability to use the product or
documentation, even if advised of the possibility of such damages.
This document contains proprietary information protected by copyright. All rights are
reserved. No part of this manual may be reproduced by any mechanical, electronic, or
other means in any form without prior written permission of the manufacturer.
TRADEMARKS
All registered trademarks and product names mentioned herein are used for identification
purposes only and may be trademarks and/or registered trademarks of their respective
owners.
Mustang-V100-MX8
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Manual Conventions
WARNING
Warnings appear where overlooked details may cause damage to the
equipment or result in personal injury. Warnings should be taken
seriously.
CAUTION
Cautionary messages should be heeded to help reduce the chance of
losing data or damaging the product.
NOTE
These messages inform the reader of essential but non-critical
information. These messages should be read carefully as any directions
or instructions contained therein can help avoid making mistakes.
Mustang-V100-MX8
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Table of Contents
1 INTRODUCTION.......................................................................................................... 1
1.1 INTRODUCTION........................................................................................................... 2
1.2 FEATURES................................................................................................................... 3
1.3 BLOCK DIAGRAM....................................................................................................... 3
1.4 I/OAND DIMENSIONS ................................................................................................. 4
1.5 TECHNICAL SPECIFICATIONS ...................................................................................... 5
2 UNPACKING................................................................................................................. 6
2.1ANTI-STATIC PRECAUTIONS........................................................................................ 7
2.2 UNPACKING PRECAUTIONS......................................................................................... 7
2.3 PACKING LIST............................................................................................................. 8
3 HARDWARE INSTALLATION................................................................................... 9
3.1ANTI-STATIC PRECAUTIONS...................................................................................... 10
3.2 INSTALLATION CONSIDERATIONS.............................................................................. 10
3.3 HARDWARE INSTALLATION....................................................................................... 12
4 SOFTWARE INSTALLATION (OPENVINO™ TOOLKIT )............................. 16
4.1 SYSTEM REQUIREMENTS.......................................................................................... 17
4.2 INSTALLATION.......................................................................................................... 17
A REGULATORY COMPLIANCE.............................................................................. 18
B PRODUCT DISPOSAL.............................................................................................. 20
C HAZARDOUS MATERIALS DISCLOSURE......................................................... 22
Mustang-V100-MX8
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List of Figures
Figure 1-1: Mustang-V100-MX8 .....................................................................................................2
Figure 1-2: Block Diagram.............................................................................................................3
Figure 1-3: Dimensions (mm)........................................................................................................4
Figure 3-1: Remove One Blank Bracket.....................................................................................12
Figure 3-2: Change to Full-height Bracket.................................................................................13
Figure 3-3: Change to Full-height Bracket.................................................................................13
Figure 3-4: Power Connector Location ......................................................................................14
Figure 3-5: Assign a Card ID .......................................................................................................14
Mustang-V100-MX8
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Chapter
1
1 Introduction
Mustang-V100-MX8
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1.1 Introduction
Figure 1-1: Mustang-V100-MX8
The Mustang-V100-MX8 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-MX8 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™ Neural
Compute Stick, and FPGA.
Mustang-V100-MX8
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1.2 Features
Mustang-V100-MX8 features are listed below:
Intel® Movidius™ Myriad™ X Vision Processing Unit
Interface: PCIe 2.0 x4
Form factor: Standard half-height, half-length, single-width
Active fan
OpenVINO™ Toolkit, AI edge computing ready device
Eight Intel® Movidius™ Myriad™ X chips can execute eight topologies
simultaneously
Low power consumption, approximate 2.5W for each Intel® Movidius™
Myriad™ X
12V external power
Equipped with rotary switch and LED indicator for card number identification
1.3 Block Diagram
Figure 1-2 shows the block diagram of the Mustang-V100-MX8.
Figure 1-2: Block Diagram
Mustang-V100-MX8
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1.4 I/O and Dimensions
The I/O interfaces and dimensions of the board are listed below:
Figure 1-3: Dimensions (mm)
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