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DTSTART;TZID=America/New_York:20260217T120000
DTEND;TZID=America/New_York:20260217T130000
DTSTAMP:20260202T215149Z
ORGANIZER;CN=Google Cloud Advanced Computing Community Calendar:mailto:c_e3
 0cab13dea1c89fb64938df4144652d1ea509a7e7fa32193ee5f8de3c0ca09b@group.calend
 ar.google.com
UID:6nt3kef8gih7fsmknd2q5lr524@google.com
ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=
 TRUE;CN=Mary Garza;X-NUM-GUESTS=0:mailto:maryg@sojustsolutions.com
X-GOOGLE-CONFERENCE:https://meet.google.com/jvg-cqxo-tyf
X-MICROSOFT-CDO-OWNERAPPTID:-915893440
CREATED:20260202T215144Z
DESCRIPTION:<strong>This is a public community event that is open to Google
  customers\, partners\, and staff!</strong><br><br><strong>Google Cloud Adv
 anced Computing Community Session<br><br>Topic:</strong> From Supercomputer
 s to Massive AI Infrastructure: Challenges &amp\; Opportunities<br><br><str
 ong>Speaker(s):</strong> Benjamin Treynor Sloss\, Chief Programs Officer\, 
 Engineering\, Google<br><br><strong>Abstract:</strong> Supercomputers and c
 loud data centers are the largest HPC and enterprise computing scale infras
 tructure\, requiring data centers with ~100MW or power. However\, AI needs 
 are driving us to new extreme scales of infrastructure–and power. The trans
 ition from 100MW facilities to 1–2GW "super-campuses" in the 2026–2027 wind
 ow represents a fundamental shift in how we architect and operate AI infras
 tructure. This massive leap in scale introduces complex delivery dynamics\,
  as the multi-year phased rollout of a 2GW site inevitably collides with th
 e aggressive 9–15 month refresh cycles of cutting-edge accelerators. Naviga
 ting this requires a departure from traditional monolithic deployments towa
 rd a strategy that accounts for heterogeneous hardware tiers arriving mid-c
 onstruction.<br><br>Operationalizing these campuses also demands a rigorous
  approach to lifecycle management and "crop rotation." While the high-radix
 \, low-latency interconnects of a concentrated gigawatt-scale footprint are
  optimized for large-scale collective communication in training workloads\,
  they are often suboptimal for the distributed redundancy and latency requi
 rements of production inference. Furthermore\, the sheer volume of componen
 ts at this scale means hardware failure rates increase linearly\, making "g
 oodput" the ultimate metric of success. Maintaining productive compute time
  for the world’s largest jobs now depends on evolving our fault-tolerance a
 nd recovery protocols to handle a twenty-fold increase in server and fabric
  interruptions compared to the megawatt-scale era.<br><br>Join us to learn 
 about the challenges and opportunities of net-generation AI infrastructure\
 , why this is needed for AI\, and how this will benefit science and innovat
 ion. <br><br><strong>Event website: </strong><a href="https://sites.google.
 com/view/advancedcomputingcommunity/from-supercomputers-to-massive-ai-infra
 structure">https://sites.google.com/view/advancedcomputingcommunity/from-su
 percomputers-to-massive-ai-infrastructure</a><br>+-+-+-+-+-+-+-+-<br><br><s
 trong>About the Google Cloud Advanced Computing Community</strong><br><br>A
 rtificial Intelligence and Cloud Computing are impacting and transforming H
 PC in profound ways\, with quantum computing poised to be an additional dis
 ruptor. It is more challenging than ever for practitioners to stay apprised
  of the technologies and trends shaping the future of HPC.<br><br>To advanc
 e and accelerate global understanding and expertise in leveraging cloud-bas
 ed technologies to solve our most pressing problems across scientific and t
 echnical computing\, we are creating the Google Cloud Advanced Computing Co
 mmunity.<br><br>This community of practice will bring together thought lead
 ers and experts from Google\, its partners\, and HPC\, AI\, and quantum com
 puting organizations around the world for engaging presentations and panels
  on innovative technologies and their applications. The Community will also
 leverage Google's uniquely powerful\, comprehensive\, and cloud-native tool
 s to create the world's most interactive\, dynamic\, and engaging advanced 
 computing community.<br><br>Learn about the community\, how to attend futur
 e online sessions or in-person meetups\, find session recordings\, and more
  at <a href="http://advancedcomputing.googlecloudcommunity.com/" target="_b
 lank">http://advancedcomputing.googlecloudcommunity.com/</a>!<br><br>You're
  invited to this event because you're a member of the Google Cloud Advanced
  Computing Community group. <strong>Unsubscribe</strong> from the Google Cl
 oud Advanced Computing Community group by emailing <a href="mailto:gcacc@go
 ogle.com" target="_blank">gcacc@google.com</a> with the subject "Unsubscrib
 e".<br><br>You're invited to this event because you're a member of a Google
  Cloud internal community that's invited\, such as cloud-hpc@\, <a href="ma
 ilto:ai-infrastructure-community@google.com" target="_blank">ai-infrastruct
 ure-community@google.com</a>\, or <a href="mailto:cloud-community-quantum@g
 oogle.com" target="_blank">cloud-community-quantum@google.com</a>.\n\n-::~:
 ~::~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:
 :~:~::-\nJoin with Google Meet: https://meet.google.com/jvg-cqxo-tyf\nOr di
 al: (US) +1 253-289-6880 PIN: 67642014770#\nMore phone numbers: https://tel
 .meet/jvg-cqxo-tyf?pin=4961852101421&hs=7\n\nLearn more about Meet at: http
 s://support.google.com/a/users/answer/9282720\n\nPlease do not edit this se
 ction.\n-::~:~::~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~
 :~:~:~:~:~:~::~:~::-
LAST-MODIFIED:20260202T215145Z
LOCATION:https://meet.google.com/jvg-cqxo-tyf
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:[Google Cloud Advanced Computing Community]  From Supercomputers to
  Massive AI Infrastructure: Challenges & Opportunities
TRANSP:OPAQUE
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