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DTSTART:20270314T030000
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DTSTART:20261101T010000
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DTSTAMP:20260916T152331Z
UID:8EFE175C-6D19-42B6-BD35-52CFC5599C06
DTSTART;TZID=America/Los_Angeles:20261113T170000
DTEND;TZID=America/Los_Angeles:20261113T190000
DESCRIPTION:From the substation feeder to the transistor gate\, every watt 
 powering an AI data center passes through a chain of power conversion stag
 es — and each one now limits how far AI infrastructure can scale. This l
 ecture follows that path end to end: grid interconnection\, medium-voltage
  distribution\, solid-state transformers\, HVDC architectures\, rack-level
  storage\, and package-level vertical power delivery\, along with the wide
 -bandgap devices — SiC and GaN — that make the whole chain viable. The
  talk highlights where efficiency is still being lost and where the next m
 ajor gains are likely to come from.\n\nSpeaker(s): Pradeep\, \n\n3452 Spur
  399 W.\, McKinney\, Texas\, United States\, 75069\, Virtual: https://even
 ts.vtools.ieee.org/m/578053
LOCATION:3452 Spur 399 W.\, McKinney\, Texas\, United States\, 75069\, Virt
 ual: https://events.vtools.ieee.org/m/578053
ORGANIZER:divya.khanure@ieee.org
SEQUENCE:28
SUMMARY:PELS Distinguished Lecture Program by Dr. Pradeep Shenoy
URL;VALUE=URI:https://events.vtools.ieee.org/m/578053
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;From the substation feeder to the transist
 or gate\, every watt powering an AI data center passes through a chain of 
 power conversion stages &amp;mdash\; and each one now limits how far AI infras
 tructure can scale. This lecture follows that path end to end: &lt;strong&gt;gri
 d interconnection\, medium-voltage distribution\, solid-state transformers
 \, HVDC architectures\, rack-level storage\, and package-level vertical po
 wer delivery&lt;/strong&gt;\, along with the wide-bandgap devices &amp;mdash\; &lt;stro
 ng&gt;SiC and GaN&lt;/strong&gt; &amp;mdash\; that make the whole chain viable. The tal
 k highlights where efficiency is still being lost and where the next major
  gains are likely to come from.&lt;/p&gt;
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