TOPOLOGY-AWARE WORKLOAD SCHEDULING WITH NVIDIA TOPOGRAPH

Summary from the TLDR IT newsletter

NVIDIA Topograph is an open source toolkit that discovers cluster network topology from cloud or on-premises providers and normalizes it into a common model. It publishes that topology as Kubernetes node labels, Slurm configurations, Slinky ConfigMaps, or NFD resources so schedulers like KAI Scheduler, Kueue, and native Kubernetes can place tightly coupled GPU workloads near each other. By keeping topology current as clusters change, Topograph reduces network congestion and improves AI factory efficiency, tokens per watt, and cost across Kubernetes, Slurm, and Slinky environments.