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World Congress 2026 North America • Sep 25, 2026 • Session details

Scaling Distributed Queues for AI workloads

Jasmit Kaur Saluja

How does Meta process trillions of background tasks daily without wasting expensive GPU capacity? Unpack the distributed queue architecture powering their unpredictable AI workloads.

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Matching moments

1:48 min

Managing asynchronous communications and load leveling

Paweł Siwek Paweł Siwek · World Congress 2025

2:07 min

SubmitQueue system architecture and operational scale at Uber

Manjari Akella Manjari Akella +1 · World Congress 2026 North America

2:30 min

Scaling backend infrastructure to support agentic AI workloads

Wei Hu Wei Hu · World Congress 2026 North America

2:53 min

Addressing system limitations and exploring future queue optimizations

Manjari Akella Manjari Akella +1 · World Congress 2026 North America

2:00 min

Reviewing key architectural decisions for federated AI computing

Jeremy Murray Jeremy Murray · World Congress 2026 Europe

2:49 min

Competing fundamentally through proficient AI orchestration and coordination

Przemysław Ładyński Przemysław Ładyński · World Congress 2026 Europe

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