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IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014. Mapping clients needs to cloud technologies Addressing your pain points Introducing IBM Platform Computing Cloud Service

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Agenda

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  1. IBM Platform Computing Cloud Service Ready to use Platform LSF & Symphony clusters in the SoftLayer cloud February 25, 2014

  2. Mapping clients needs to cloud technologies Addressing your pain points Introducing IBM Platform Computing Cloud Service Product features and benefits Use cases Performance benchmarks Agenda

  3. HPC Workloads Recommended for Private Cloud HPC Workloads with Best Potential for Virtualized Public & Hybrid Cloud Primary HPC Workloads HPC cloud characteristics and economics are different than general-purpose computing • High-end hardware and special purpose devices (e.g. GPUs) are typically used to supply the needed processing, memory, network, and storage capabilities • The performance requirements of technical computing and service-oriented workloads means that performance may be impacted in a virtualized cloud environment, especially when latency or I/O is a constraint • HPC cluster/grid utilization is usually in the 70-90% range, removing a major potential advantage of a public cloud service provider for stable workload volumes

  4. IBM’s HPC cloud strategy provides a flexible approach to address a variety of client needs Private Clouds Hybrid Clouds Public Clouds Evolve existing infrastructure to HPC Cloud to enhance responsiveness, flexibility, and cost effectiveness. Enable integrated approach to improve HPC cost and capability Access additional HPC capacity with variable cost model 60% Based on HPC Cloud’s potential impact, organizations are evolving their infrastructures to enable private cloud deployments, exploring hybrid clouds, and considering public clouds.

  5. Are you experiencing any of these pain points? • Unable to meet business objectives (delay to market, etc.) • Existing resources insufficient to meet peek compute demand • Long run times on existing cluster or grid • No access to local technical computing resources (workstation users) • Technical resources expensive and time consuming to acquire • The skills/staff to architect and manage a technical computing infrastructure can be difficult to acquire Life Sciences Financial Services

  6. IBM Platform Computing Cloud ServiceMaking the cloud work for you Complete, end to end dynamic cloud solution

  7. Ready to use Platform LSF & Platform Symphony clusters in the cloud Client and ISV Applications IBM Platform Computing Cloud Service (SaaS) IBM Platform LSF IBM Platform Symphony SoftLayer, an IBM Company Infrastructure 24X7 CloudOps Support

  8. Dedicated physical and virtual machine infrastructure as a service • 13+ data centers • 17 network PoPs • Global private network • Bare metal and virtual machines 190,000+ 21,000+ 22,000,000+ CUSTOMERS DOMAINS SERVERS

  9. Ready to use Platform LSF & Platform Symphony clusters in the cloud DIFFERENTIATOR RATING IBM ADVANTAGES Low intensity workloads High intensity workloads Low degree of control andcustomization High degree of control andcustomization Single platform Seamless integration IBM AWS RAX

  10. Non-shared physical machines for added security and performance • Dedicated and isolated compute environment • All machine instances are dedicated to the client • Each cluster is isolated on a VLAN • Only the VPN gateway has an addressable interface • All customer data at rest is encrypted on shared file systems • When machines instances are decommissioned the disks are scrubbed using DoD approved methods

  11. Optimal performance for technical computing apps EDA Benchmark (IBM-MESA) Industrial Manufacturing Benchmark – Structural Mechanics Note: Benchmark results were obtained by IBM and have not yet been externally audited or validated.

  12. Run and supported by dedicated, 24X7 HPC Cloud Operations Team CloudOps functions • Pre-provisioning: Provide guidance to client on how to enable VPN, multi-cluster settings & security settings on the client on-premise environment • One time setup testing: Extensive testing of the cluster prior to release to the client • Extensive testing of the cluster on every event of flex-up prior to release to the client • Email alerts prior to flex-down & cluster shutdown operations • Email alerts in case of any overage (compute hours, download bandwidth) • Provide billing details of monthly usage including overage details • Provide support under IBM SLA by experts highly experienced in Platform Computing products Value: quality, peace of mind & minimum disruption to business • Extensive quality checks ensures minimum loss of usage hours & disruptions • Proactive alerts ensures that in-progress critical jobs are not killed in case of Flex-down & Cluster Shutdowns and Overages • Highly trained & experienced Support ensures smooth on-boarding and minimize disruptions

  13. Industry-leading workload management 23 of 30 largest commercial enterprises • 20 years managing distributed scale-out systems with 2000+ customers in many industries • High performance workload management combined with intelligent resource scheduling engine • Unmatched scalability (small clusters to global grids) and production-proven reliability • Heterogeneous – manages System x and Power plus 3rd party systems, virtual and bare metal, accelerators / GPU, cloud, etc. • Shared services for both compute and data intensive workloads • Integrated solutions with vertical reference architectures 60% of top financial services companies Over 5M CPUs under management

  14. Overview Powerful workload management for demanding, distributed and mission-critical high performance computing environments. Key Capabilities Powerful Policy and resource-aware scheduling Resource consolidation for optimal performance Advanced self-management Flexible Heterogeneous platform support Policy-driven automation CLI, web services, APIs Scalable Thousands of concurrent users and jobs Virtualized pool of shared resources Flexible control, multiple policies Client Benefits Optimal utilization: reduced infrastructure cost Robust capabilities: improved productivity High throughput: faster time to results IBM Platform LSF 14

  15. Overview Low-latency grid management platform for distributed computing and analytics with sophisticated resource sharing Key Capabilities Accelerates service-oriented applications Extreme app scalability and throughput with very low latency Compute and data-intensive applications on a single platform Sophisticated, hierarchical resource sharing Open and flexible: choice of OS, frameworks and languages Client Benefits Increase performance and analytic result quality Reduces IT costs - increase utilization, simplify application onboarding, reduce administration costs IBM Platform Symphony • Low Latency / High throughput • Sub-millisecond, 17,000 tasks per second • Large Scale • 10k cores per application, 40k cores per grid • Efficient shared services • Heterogeneous & Open • Linux, Windows, AIX, C/C++, C#, Java, Excel, Python, R 15

  16. Use case 1 – hybrid cluster The problem • Existing resources cannot meet peak demand • Resources are expensive and time consuming to acquire • Skills to architect and manage clusters are difficult to find • Fixed or reduced budgets • On-premise constraints in space, cooling and power The solution • Fully functioning IBM Platform LSF or Symphony clusters are provisioned on the SoftLayer cloud and connected to the on-premise cluster, expanding capacity as needed • Leverage MultiCluster capability for managed forwarding of jobs from on premise cluster to off premise cluster • The Value • Access to additional compute capacity on a temporary basis as needed • Near-zero wait times • Reduce costs by paying for only what is used • Pay for additional capacity as an operating expense • Fully supported, end-to-end solution, from the on-premise to the on-cloud clusters • Expected and reliable performance from running technical computing workloads on physical machines • Transparent access to cloud resources, the end user experience does not change

  17. Use case 2 – stand-alone cluster in the cloud The problem • New and emerging need for technical computing • Skills to architect and manage clusters are difficult to find • Resources are expensive and time consuming to acquire • Inconsistent demand does not justify the investment The solution • Fully functioning Platform LSF and Symphony clusters are provisioned on the SoftLayer cloud providing resources as needed • The value • Market-leading Platform LSF and Platform Symphony software • Access to technical computing resources on a temporary basis without the need to acquire, install and configure the infrastructure and cluster software • Keep costs low by paying for only what is used • Pay for capacity as an operating expense • Fully supported solution • Expected and reliable performance from running workloads on physical machines

  18. Is IBM Platform Computing Cloud Service a good fit for you? Business pain points • And you experiencing lost profit due to missed deadlines? • Do you experience pressure to convert your compute environment capital expense to operational expense? • Have you ever missed a deadline or delayed a project because technical computing resource procurement took too long ? Technology pain points • Do your users ever scale back their analyses to lower fidelity or less accuracy in order to fit them into the local compute environment or to a time window? • Do you regularly, occasionally, or permanently have fewer resources (CPUs, disk, memory, etc) than you would like to have to service the user’s compute demand? • Do you experience a large variance in compute resource utilization? • Have you reached, or will you reach the capacity of your datacenter(s), and do you need a plan to grow beyond that capacity ? • Are your customers asking you for cloud licenses for Platform LSF or Platform Symphony?

  19. IBM Platform Computing Cloud ServiceMaking the Cloud Work for You IBM Hybrid Cloud OnPremise OnSmartCloud powered by Software & Systems Unmatched CapabilitiesPolicy-driven Workload Management Cloud LeadershipExpertise from Client Engagements Unmatched ExpertiseAnalytics, Technical Computing, Software, Services and ISV Partnerships Consolidation Supporting heterogeneous IBM and non-IBM infrastructure

  20. Thank You

  21. SoftLayer and Amazon EC2 Products tested

  22. Memory Bandwidth

  23. CPU Performance

  24. Network Bandwidth

  25. Network Latency

  26. Input / Output Performance

  27. Software Compilation

  28. Life Science (BWA)

  29. EDA Benchmark (IBM-MESA)

  30. Provisioning Time

  31. Industrial Manufacturing – Structural Mechanics

  32. Industrial Manufacturing – CFD

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