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UID:pretalx-devconf-us-2026-7CCPUA@pretalx.devconf.info
DTSTART;TZID=EST:20260925T090000
DTEND;TZID=EST:20260925T091500
DESCRIPTION:AI workloads are exposing the limits of traditional scheduling 
 assumptions in Kubernetes. When GPUs and other specialized accelerators en
 ter the picture\, platform design becomes far more complex. This session e
 xplains how Kubernetes must evolve to support accelerated computing at sca
 le\, with a focus on GPU allocation\, Dynamic Resource Allocation (DRA)\, 
 scheduling behavior\, quota design\, and capacity planning. The talk conne
 cts these technical mechanisms to the broader goal of building reliable an
 d efficient AI platforms. Attendees will understand the operational implic
 ations of running accelerated workloads\, the common pitfalls teams encoun
 ter\, and the architectural patterns that can help improve fairness\, util
 ization\, and performance.
DTSTAMP:20260727T165154Z
LOCATION:Ladd Room (Capacity 170)
SUMMARY:GPUs\, DRA\, and Smarter Scheduling for AI: Preparing Kubernetes fo
 r Accelerated Workloads - Heber Romero Tellez\, Ismael Flores
URL:https://pretalx.devconf.info/devconf-us-2026/talk/7CCPUA/
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