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VERSION:2.0
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X-WR-CALNAME:LatentShift · Self-Healing a GPU Fleet at Scale
X-WR-TIMEZONE:Europe/Istanbul
REFRESH-INTERVAL;VALUE=DURATION:PT12H
X-PUBLISHED-TTL:PT12H
BEGIN:VEVENT
UID:ed01-self-healing-a-gpu-fleet-at-scale@latentshift.ai
DTSTAMP:20261007T125617Z
DTSTART:20261017T073500Z
DTEND:20261017T075500Z
SUMMARY:LatentShift · Self-Healing a GPU Fleet at Scale · Daglar Berk Erd
 em
DESCRIPTION:Short talk · 20 min · Turkish\n\nDaglar Berk Erdem · Platfor
 m Engineer\, FAL.ai\n\nTurkish Sign Language (TİD) interpretation.\n\nRun
 ning thousands of GPUs means hardware fails constantly: GPUs fall off the 
 PCIe bus\, memory corrupts\, nodes drop off the network. Our fleet runs on
  custom scheduler rather than Kubernetes\, so there is no managed platform
  to auto-repair nodes - we built our own. In this session you will learn h
 ow we detect failures from metrics\, automatically drain and remediate nod
 es with Ansible\, and the safeguards that keep automation from making an o
 utage worse.\n\nhttps://latentshift.ai/schedule/self-healing-a-gpu-fleet-a
 t-scale/
LOCATION:Bağlarbaşı Kongre ve Kültür Merkezi\, Boğaziçi Salonu\, Sel
 ami Ali Mah.\, Gazi Cad. No:22\, 34664 Üsküdar\, İstanbul
GEO:41.024366;29.033571
URL:https://latentshift.ai/schedule/self-healing-a-gpu-fleet-at-scale/
CATEGORIES:LatentShift,Short talk
STATUS:CONFIRMED
TRANSP:OPAQUE
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DESCRIPTION:Starts in 10 minutes · Self-Healing a GPU Fleet at Scale
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