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Avnet Ultra96-V2 - 1 Document Control; 2 Version History; 3 Introduction

Avnet Ultra96-V2
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Page 3
7 Power .................................................................................................................. 28
7.1 External Power Connection ................................................................................................... 28
7.2 Power Estimation Using XPE ................................................................................................. 28
7.3 Power Regulators .................................................................................................................. 29
7.4 Power Sequence .................................................................................................................... 30
8 Clocks ................................................................................................................. 32
9 Reset ................................................................................................................... 32
10 Specifications and Ratings .................................................................................. 32
11 Getting Help and Support .................................................................................... 32
1 Document Control
Document Version: 1.0
Document Date: 23 May 2019
2 Version History
Version
Date
Comment
1.0
23 May 2019
Initial Release
3 Introduction
The main purposes of the Ultra96-V2 Kit are:
• Provide a Xilinx entry in the 96Boards community
• Combine ARM processing with programmable logic in a convenient and expandable board
• Showcase a wide range of potential peripherals and acceleration engines in the programmable logic
that is not available from other 96Boards offerings
• Be a low-cost starter kit for Zynq UltraScale+ MPSoC developers
• Showcase hardware acceleration for software bottlenecks
• Allow expansion to a variety of sensors and peripherals through the 96Boards mezzanine
connectors
• Target a number of applications for development, including:
o Artificial Intelligence
o Machine Learning
o IoT/Cloud connectivity for add-on sensors