~/talk

Evolving Argo Workflows for AI: New Features, Tuning, and Multi-Tenant Isolation

name:S. Tian
links:none on file
name:Y. Su
links:none on file
slides:none on file

Describes how Argo Workflows is being used as the control plane for large-scale AI pipelines (autonomous driving, LLM fine-tuning, agentic coding) and maps Argo’s execution models to those scenarios. Explains recent Argo features and practical controller tuning patterns for concurrency and queue management, and outlines approaches for multi-tenant data isolation using per-replica object-storage-backed volumes and workflow-aware storage policies.

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