NVIDIA releases open source Topograph, turning cluster network topology into Kubernetes labels and Slurm configuration so schedulers place GPU workloads by physical proximity
NVIDIA introduces Topograph, an open source toolkit whose providers discover cluster topology from cloud APIs or on-premises fabric systems and normalize it into a canonical model, while engines translate that model into Kubernetes node labels, NFD resources, Slinky ConfigMaps, Slurm topology configuration, or topology JSON, letting schedulers on Kubernetes, Slurm, and Slinky make proximity-aware placement decisions and supporting topology-aware gang scheduling through KAI Scheduler and Kueue.