Amazon SageMaker HyperPod now supports AMI-based node lifecycle configuration for Slurm clusters using continuous provisioning
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This article announces AMI-based node lifecycle configuration support for Amazon SageMaker HyperPod Slurm clusters using continuous provisioning.
- Continuous provisioning automatically adds nodes as capacity becomes available without manual script management
- AMI-based configuration includes pre-installed software like Docker, Enroot, and Pyxis for production-ready AI/ML training
- Nodes are configured automatically from the AMI as they join the cluster, reducing time to job scheduling
- Optional extension scripts can be added via OnInitComplete parameter for additional customization
- Available in all AWS Regions where SageMaker HyperPod is supported
This enhancement simplifies Slurm cluster provisioning by eliminating the need to download, configure, and upload lifecycle scripts to S3.
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