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    AWS ParallelCluster to PCS Migration Accelerator

     Info
    Relevance Lab’s PCS Migration Accelerator enables organizations to modernize HPC environments by migrating from AWS ParallelCluster to AWS PCS with minimal risk and no end-user disruption. Our proven methodology ensures: • No changes to job submission workflows (sbatch remains unchanged) • Preservation of storage paths, permissions, and identity • Reuse of existing AWS networking, security, and data layers • Controlled, phased migration with validation and rollback readiness This offering is designed for research, engineering, AI/ML, and HPC workloads seeking a fully managed, elastic HPC platform without operational burden.

    Overview

    Our Unique Methodology: “Frictionless Migration Framework” 🔹 1. Discover (No Assumptions) • Automated assessment of cluster configs, SLURM queues, storage, and identity • Analysis of job patterns and scaling behavior • Identification of risks in data, ACLs, and workflows 🔹 2. Design (In-Place, Low Disruption) • Target PCS architecture aligned to existing VPC, FSx, IAM • Queue mapping (SLURM → PCS compute queues) • Identity and permission preservation plan (UID/GID, ACLs, SSO) 🔹 3. Validate (Sandbox First) • Deploy PCS environment in parallel (“Green”) • Reuse FSx and IAM for consistency • Execute representative workloads and benchmark results 🔹 4. Migrate (Controlled Cutover) • Blue/Green migration with zero downtime • No change to job scripts or data paths • DNS / access abstraction for seamless user transition 🔹 5. Optimize (Post-Migration) • Cost and performance tuning • Autoscaling optimization • Optional GenAI-based insights for capacity planning

    Highlights

    • Zero-Touch Deployment: We use Terraform or AWS CDK to deploy your PCS environment, making it version-controlled and repeatable.
    • Minimized Downtime: Automated data synchronization and identity cutovers reduce migration windows from days to hours.
    • Scientific Integrity: Automated verification ensures that the software stack (compilers, libraries, and modules) performs identically on the new managed infrastructure.

    Details

    Delivery method

    Deployed on AWS
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    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    For more details reach out to us at rlcloudsupport@relevancelab.com .