World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)

Lerna Ekmekcioglu

Distributed AI training is a fragile seance where one dropped connection crashes the entire process. Discover how to eliminate network stragglers and build fault-tolerant GPU clusters at scale.

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Matching moments

3:05 min

Acquiring Mellanox to build cohesive AI factories

Michael Kagan

Michael Kagan +1 · World Congress 2026 Europe

1:20 min

Engineering lessons for scaling high-performance AI infrastructure

Wayne Liu

Wayne Liu · World Congress 2026 North America

3:28 min

Challenges of shared Kubernetes clusters for AI workloads

Piotr Zaniewski

Piotr Zaniewski · World Congress 2026 Europe

2:51 min

Designing hardware infrastructure and networking for distributed compute

Anshul Jindal

Anshul Jindal +1 · World Congress 2025

4:26 min

Five unique failure modes in production AI systems

Heather Thacker

Heather Thacker · Europe 2026 Virtual

2:30 min

Scaling backend infrastructure to support agentic AI workloads

Wei Hu

Wei Hu · World Congress 2026 North America

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November 25–26, 2026

Bengaluru, India

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How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design
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Thu 26 Nov · Stage 2
Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)
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Thu 26 Nov · Stage 2
Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs
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