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VERSION:2.0
PRODID:-//Business Events Deutschland//DE
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:84f4808336b0a6d1256340d1c92c415ac7f45180@business.alle-events.de
DTSTAMP:20261116T170000Z
DTSTART:20261116T170000Z
DTEND:20261116T180000Z
SUMMARY:GPU Detective Stories: PyTorch Recompiles & Hidden Bottlenecks
DESCRIPTION:AI Performance Engineering Meetup (Munich2) Monday\, November
  16\, 2026 · 9:00–10:00 AM PST · Online Zoom link: https://us02web.zoom.
 us/j/82308186562 Joinus for two deep dives into hidden AI performance co
 sts: surprise PyTorch recompilations during inference and compute\, memo
 ry\, and communication bottlenecks in Jev training. Talk #0: Introductio
 ns and Meetup Updates by Chris Fregly and Antje Barth Talk #1: The Recom
 pile Ambush: TamingPyTorch Inference Spikes by Chaim Rand torch.compile 
 can acceleratesteady-state inference\, yet a guard failure on a new inpu
 t shape or layout can trigger an expensive recompilation in the request 
 path. Drawing on his latest post\, Chaim will compare six approaches usi
 ng a dynamic graph-neural-network example: cache preloading\, bounded re
 compilation with eager fallback\, Dynamo and input-layout tuning\, warmu
 p seeding\, background compilation\, and ahead-of-time compilation with 
 torch.export and AOTInductor. He’ll explain their tradeoffs and how the 
 right choice depends onthe model\, input distribution\, runtime environm
 ent\, and latency requirements. Bio: Chaim Rand is a machine-learning al
 gorithm developer whowrites about PyTorch and practical AI/ML performanc
 e optimization. Based on: Overcoming the PyTorch Recompilation Dilemma i
 n Real-Time Inference Workloads Talk #2: Follow the Profile: Hunting Jev
 ’s GPU Bottlenecks by Israel Ogbole\, Co-founder and CEO of Zymtrace Isr
 ael will explore the latest Zymtrace/TypeSafe case study on training and
  serving…\n\nQuelle: https://www.meetup.com/ai-performance-engineering-m
 eetup-munich/events/316151601/
LOCATION:Deutschland
URL:https://www.meetup.com/ai-performance-engineering-meetup-munich/event
 s/316151601/
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