~/lightning

Project Lightning Talk: Extend Large Language Model Training Beyond Single Kubernetes Cluster

name:Klaus Ma
links:none on file
slides:none on file

Demonstrates running LLM training across clusters by combining Volcano and Karmada to overcome single-cluster limits (default ~5,000 nodes) and huge GPU + network needs, implementing a unified API for federation, a meta-framework that exposes workload networking/storage to the infra, and cross-cluster job queuing with policies to prevent busy waiting and deadlock. Shows network-aware scheduling and a scalable Volcano Global component that improves multi-cluster utilization and training performance.

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