
    AWS Parallel Computing Service now supports over 65 custom Slurm settings, enabling more flexible configuration of HPC cluster scheduling, resource allocation, and job management across cluster, queue, and compute node levels.


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AWS Parallel Computing Service (PCS) has announced expanded support for custom Slurm settings, allowing users to configure over 65 Slurm parameters with greater flexibility for HPC workloads.
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<li>Users can now customize Slurm settings at cluster, queue, and compute node group levels</li>
<li>New features enable more granular control over job scheduling, access policies, and resource allocation</li>
<li>Supports configuration through AWS Console, CLI, and SDKs</li>
<li>Includes built-in validation to prevent configuration errors</li>
<li>Enables scenarios like department-level compute tracking, job prioritization, and resource reservation</li>
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This update allows organizations to bring the sophistication of on-premises HPC clusters to AWS, with enhanced elasticity and operational advantages.
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