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DTSTART;TZID=America/Los_Angeles:20230711T173000
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DESCRIPTION:Artificial Intelligence (AI) has emerged as a revolutionary tec
 hnology that is transforming various industries and aspects of our daily l
 ives. The rapid arrival of real-time gaming\, virtual reality\, generative
  AI and metaverse applications are changing the way network\, compute\, me
 mory\, storage and interconnect I/O interact for the next decade. As AI co
 ntinues to advance at an unprecedented pace\, the network needs to adapt t
 o the humongous growth in traffic connecting hundreds of processors with t
 rillions of transactions and gigabits of throughput. As AI moves out of la
 bs and research projects toward wide adoption\, it will demand significant
  computing resources. We will try to cover the probable network architectu
 res to support AI workloads and the technology required for it.\n\nCo-spon
 sored by: Seattle University Student Chapter\n\nSpeaker(s): Urvish Panchal
 \n\nAgenda: \nAgenda:\n\n- 5.30 PM to 6.00 PM - Networking Event with the 
 speaker and IEEE members.\n- 6.00 PM to 6.50 PM - Tech Talk and Question H
 our.\n\nRoom: Stuart T. Rolfe Community Room \, Bldg: Admissions and Alumn
 i building\, Seattle University\, 824 12th Ave\, Seattle\, WA 98122\, Seat
 tle\, Washington\, United States\, 98122\, Virtual: https://events.vtools.
 ieee.org/m/366272
LOCATION:Room: Stuart T. Rolfe Community Room \, Bldg: Admissions and Alumn
 i building\, Seattle University\, 824 12th Ave\, Seattle\, WA 98122\, Seat
 tle\, Washington\, United States\, 98122\, Virtual: https://events.vtools.
 ieee.org/m/366272
ORGANIZER:dfischer@ieee.org
SEQUENCE:20
SUMMARY:IEEE Tech Talk -Network Architecture for AI/ML Workloads
URL;VALUE=URI:https://events.vtools.ieee.org/m/366272
X-ALT-DESC:Description: <br /><p>Artificial Intelligence (AI) has emerged a
 s a revolutionary technology that is transforming various industries and a
 spects of our daily lives. The rapid arrival of real-time gaming\, virtual
  reality\, generative AI and metaverse applications are changing the way n
 etwork\, compute\, memory\, storage and interconnect I/O interact for the 
 next decade. As AI continues to advance at an unprecedented pace\, the net
 work needs to adapt to the humongous growth in traffic connecting hundreds
  of processors with trillions of transactions and gigabits of throughput. 
 As AI moves out of labs and research projects toward wide adoption\, it wi
 ll demand significant computing resources. We will try to cover the probab
 le network architectures to support AI workloads and the technology requir
 ed for it.&nbsp\;&nbsp\;</p><br /><br />Agenda: <br /><p>Agenda:</p>\n<ol>
 \n<li>5.30 PM to 6.00 PM - Networking Event with the speaker and IEEE memb
 ers.</li>\n<li>6.00 PM to&nbsp\; 6.50 PM - Tech Talk and Question Hour.</l
 i>\n</ol>
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