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PRODID:IEEE vTools.Events//EN
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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250626T211832Z
UID:96DE8B17-218D-4C78-BB69-1A75513256AE
DTSTART;TZID=America/Los_Angeles:20250626T120000
DTEND;TZID=America/Los_Angeles:20250626T130000
DESCRIPTION:[]Ensuring hardware system reliability is increasingly critical
  in the evolving AI landscape\, particularly within data centers. Drawing 
 upon extensive experience leading reliability initiatives for cutting-edge
  hardware\, this presentation will outline a general methodology for desig
 ning reliable complex AI systems. It will emphasize the necessity of a mul
 tidisciplinary approach\, integrating model-based system engineering\, rig
 orous reliability testing\, and continuous system improvements\, as exempl
 ified by advancements in liquid cooling and power delivery technologies fo
 r high-performance AI processors. The talk will focus on the reliability a
 pproach needed for resilience in complex\, AI-driven environments.\n\nSpea
 ker(s): Venkata Chivukula\, \n\nVirtual: https://events.vtools.ieee.org/m/
 485845
LOCATION:Virtual: https://events.vtools.ieee.org/m/485845
ORGANIZER:p.wesling@ieee.org
SEQUENCE:15
SUMMARY:Approaching System Reliability in the AI Era
URL;VALUE=URI:https://events.vtools.ieee.org/m/485845
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;float: right\;&quot; src=&quot;https://e
 vents.vtools.ieee.org/vtools_ui/media/display/cb431b70-e780-43ef-830c-8b76
 ae5319d2&quot; alt=&quot;&quot; width=&quot;355&quot; height=&quot;199&quot;&gt;Ensuring hardware system reliabi
 lity is increasingly critical in the evolving AI landscape\, particularly 
 within data centers. Drawing upon extensive experience leading reliability
  initiatives for cutting-edge hardware\, this presentation will outline a 
 general methodology for designing reliable complex AI systems. It will emp
 hasize the necessity of a multidisciplinary approach\, integrating model-b
 ased system engineering\, rigorous reliability testing\, and continuous sy
 stem improvements\, as exemplified by advancements in liquid cooling and p
 ower delivery technologies for high-performance AI processors. The talk wi
 ll focus on the reliability approach needed for resilience in complex\, AI
 -driven environments.&lt;/p&gt;
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