solution brief- ai for openstack on cisco

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  • 7/25/2019 Solution Brief- AI for OpenStack on Cisco

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    SolidFire Agile Infrastructure (AI) for OpenStackSelf-Service Converged Infrastructure for Dynamic IT Environments

    For customers looking to rapidly deploy a fully functional OpenStack

    cloud infrastructure, SolidFire Agile Infrastructure (AI) for OpenStack is

    a pre-validated reference architecture built spec cally for a dynamic

    IT-as-a-Service ap proach for Test & Development or Private Cloud.

    The Agile Approach

    SolidFire AI for OpenStack enables your IT organization to:

    Consolidate and Scale

    Drive up utilization by c consolidating workloads with

    Rapidly Respond

    Empower your organization to quickly meet changing business nee

    with a pre-integrated, scalable infrastructure.

    Improve Productivity

    Proven, automated infrastructure accelerates time to deployment,

    automation reduces administrative burden.

    Reduce Risk

    Pre-tested, validated design incorporating industry leading

    technology provides guaranteed Quality of Service (QoS) and scale

    without disruption.

    re.com

    SolidFire AIAgile Infrastructure

    for

    (2) Cisco UCS 6248 FI

    Compute FabricInterconnects

    Controllers: (2) Cisco UCS B220 M3

    Compute: (6) Cisco UCS B220 M3

    Compute Hosts

    (5) SolidFire SF2405

    Storage Nodes

    Storage

    (2) Cisco Nexus 5548UP

    (2) Cisco C3850

    Networking

    StorageScale Out

    ComputeScale Out

  • 7/25/2019 Solution Brief- AI for OpenStack on Cisco

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    4.8 Millionaggregated transactions per minute

    46% of storage IOPSavailable for additionalapplications, virtual machines or consolidated workloads

    Zero performance impactexperienced by neighboringapplications or instances

    Automatic IO boostingfor template cloning operations

    OpenStack Heat Orchestrationtemplates fordatabase staging

    Single OpenStackretype command provides instantavailability of storage IOPS

    Host up to 2500 virtual machinesconsuming