SageMaker HyperPod supports partition-level topology for Slurm clusters
Amazon SageMaker HyperPod now allows partition-level network topology configuration for Slurm clusters, enabling different topologies within a single cluster based on instance types. This change optimizes distributed training by aligning job placement with interconnect characteristics, improving GPU communication and throughput. The feature is available in all supported AWS Regions and is enabled by default for Slurm 25.11+ clusters.
- →Partition-level network topology support for Slurm clusters
- →Improved distributed training performance
- →Topology selection and availability
Features (1) ›
- Partition-level network topology support for Slurm clusters
SageMaker HyperPod now supports network topology configuration at the partition level for Slurm orchestrated clusters. This allows different topologies, such as tree and block, to coexist within a single cluster, chosen based on the instance types in each partition. The system automatically maintains this configuration during cluster scaling events.
Enhancements (1) ›
- Improved distributed training performance
By aligning job placement with instance interconnect characteristics, this feature accelerates GPU-to-GPU communication, enhances NCCL collective operation efficiency, and boosts overall training throughput. Topology-aware scheduling is enabled by default for supported instance types.
Notes (1) ›
- Topology selection and availability
HyperPod automatically assigns block topology to partitions with instance types like ml.p6e.gb200, and tree topology to those with hierarchical-interconnect types like ml.p5.48xlarge. Partitions without specific topology information remain fully schedulable. The feature requires Slurm 25.11 or later and is available in all AWS Regions where SageMaker HyperPod is supported.
https://aws.amazon.com/about-aws/whats-new/2026/07/hyperpod-partition-topology-slurm/
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