Evolving Argo Workflows for AI: New Features, Tuning, and Multi-Tenant... Shuangkun Tian & Yashi Su

Why watch

This talk covers scaling Argo Workflows as a control plane for large-scale AI pipelines including autonomous driving systems and LLM fine-tuning. It presents practical controller tuning patterns for concurrency and queue management, plus multi-tenant data isolation using per-replica object-storage-backed volumes and workflow-aware storage policies. Designed for platform engineers and SREs operating Argo Workflows in production AI environments.