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Dell Validated Design for Government HPC, Artificial Intelligence, and Data Analytics
Introduction Business challenges Solution overview
Introduction
Solution architecture Scalable Rack Units Reference system SCRU performance Conclusion References

Introduction

Home > Workload Solutions > High Performance Computing > White Papers > Dell Validated Design for Government HPC, Artificial Intelligence, and Data Analytics > Introduction

Introduction

  • This white paper presents options for customers to address infrastructure challenges by leveraging Dell’s Validated Designs to optimize design architectures that meet their specific requirements while saving time, resources, and money. The document is designed to address HPC, AI, and data analytics workloads with a single system or separate systems depending on customer needs. This design approach uses building block options for servers, networking, storage, and software to provide flexibility in design architecture. Baseline designs benchmarked for traditional HPC workloads and baseline designs benchmarked for AI workloads serve as design starting points. Nvidia’s BCM software is used to build and manage clusters as a single entity. Table 1 describes the functional components and building block options.

    Table 1.      Building block components

       Functional component type 

    Building block component options

    Infrastructure Servers

    AMD: R7525, R6525, R6515, R7515

    Intel: R750, R650

     

    Compute servers

    AMD: XE8545, R7525, R6525, C6525

    Intel: R750xa, R650, C6520

    Accelerators

    NVIDIA A100 40G/80G, A10

    AMD Instinct MI100 

    Storage

    PowerScale Isilon F900

    Dell HPC BeeGFS

    Networking

    Cornelis 48-port Edge Switch, Cornelis Director Class Switches

    PowerSwitch N3248TE-ON

    Cornelis Gateways

    Ethernet Gateway 2x 100GbE

    InfiniBand Gateway 2x EDR

    InfiniBand Gateway 1x HDR

    Cluster Management Software

    Bright Cluster Manager 9.2