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    HPC Migration and Modernization for Scientific Research Environments

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    Sold by: BioTeam 
    Multi-product
    BioTeam accelerates scientific discovery by migrating and modernizing traditional on-premises HPC workloads into high-performance, cloud-native environments on AWS. We bridge the gap between complex research workflows and AWS infrastructure using AWS ParallelCluster, AWS Parallel Computing Service (PCS), and AWS Batch, ensuring your scientists gain virtually unlimited scalability and secure global collaboration without the overhead of managing hardware. Our AWS Well-Architected approach minimizes downtime during migration, allowing research teams to focus on data insights rather than infrastructure limitations. Customers typically achieve 40-70% cost reduction through Amazon EC2 Spot Instances while gaining elastic compute capacity that scales from zero to thousands of cores in minutes.

    Overview

    BioTeam provides end-to-end professional services to migrate and modernize HPC environments for research-focused organizations. We specialize in transitioning complex, on-premises research workloads to AWS using Infrastructure as Code (IaC), ensuring scientists have the compute power they need without traditional infrastructure bottlenecks.

    Technical Capabilities: High-scale computing with AWS ParallelCluster and AWS Parallel Computing Service Massive data throughput via Amazon FSx for Lustre and Amazon S3 Secure collaboration environments with HIPAA-eligible configurations Job scheduling with Slurm on AWS Containerized workflows using Amazon ECR and AWS Batch

    AWS Services Leveraged:

    AWS ParallelCluster – Open-source HPC cluster management AWS Parallel Computing Service (PCS) – Managed Slurm environment AWS Batch – Fully managed batch computing Amazon EC2 – Compute-optimized and GPU instances (Hpc6a, Hpc7g, P4d, P5) Amazon FSx for Lustre – High-performance parallel file system Amazon S3 – Scalable object storage with intelligent tiering Elastic Fabric Adapter (EFA) – Low-latency HPC networking AWS CloudFormation / Terraform – Infrastructure as Code deployment

    Use cases

    Infrastructure and Application Discovery

    utomated discovery maps the complex dependencies between specialized research software and legacy HPC clusters to prevent pipeline disruptions during migration. This data-driven approach identifies infrastructure inefficiencies early, allowing customers to bypass simple rehosting for a cost-optimized, cloud-native architecture that accelerates discovery.

    High Throughput Modeling and Screening

    This solution deploys elastic, high-performance compute clusters that scale on-demand to handle the massive datasets required for virtual screening and complex modeling. By removing on-premises capacity constraints, researchers can process millions of compounds simultaneously, drastically reducing the time from initial hypothesis to lead optimization.

    Details

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    Deployed on AWS
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    Products included

    BioTeam’s cloud-optimized HPC modernization and migration services are designed to enable seamless scalability and secure collaboration. BioTeam works closely with research teams to minimize disruptions and migrate existing workflows quickly.
    BioTeam designs and builds scalable, cloud-optimized pipelines that enable efficient, reproducible research workflows for handling complex multi-omics data.

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote.

    Integration guide

    This solution integrates directly to provide high-performance compute and POSIX-compliant storage for research workloads. It leverages AWS Identity and Access Management (IAM) for secure data enclaves and can be further integrated to automate bioinformatics pipelines. Our deployment model uses Infrastructure as Code to ensure seamless orchestration within your existing AWS Organization and VPC structure.

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