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

2. © 2014 IBM Corporation Platform Computing 2 Agenda  Mapping clients needs to cloud technologies  Addressing your pain points  Introducing IBM Platform Computing Cloud Service  Product features and benefits  Use cases  Performance benchmarks

3. © 2014 IBM Corporation Platform Computing 3 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 HPC Workloads Recommended for Private Cloud HPC Workloads with Best Potential for Virtualized Public & Hybrid Cloud Primary HPC Workloads

4. © 2014 IBM Corporation Platform Computing 4 IBM’s HPC cloud strategy provides a flexible approach to address a variety of client needs Evolve existing infrastructure to HPC Cloud to enhance responsiveness, flexibility, and cost effectiveness. Enable integrated approach to improve HPC cost and capability 60% Access additional HPC capacity with variable cost model Private Clouds Hybrid Clouds Public Clouds 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. © 2014 IBM Corporation Platform Computing 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 Financial Services Life Sciences

6. © 2014 IBM Corporation Platform Computing 6 IBM Platform Computing Cloud Service Making the cloud work for you Build Complete, ready to run clusters in the cloud Add additional capacity in hours instead of months Manage Seamless workload management, on- premise and in the cloud Transparent user experience Support 24X7 cloud operation support Access to technical computing expertise when you need it Protect Data encryption, dedicated physical machines and network Security through physical isolation Complete, end to end dynamic cloud solution

7. © 2014 IBM Corporation Platform Computing 7 Ready to use Platform LSF & Platform Symphony clusters in the cloud IBM Platform Computing Cloud Service (SaaS) IBM Platform LSF IBM Platform Symphony SoftLayer, an IBM Company Infrastructure SoftLayer, an IBM Company Infrastructure 24X7 CloudOps Support Client and ISV Applications

8. © 2014 IBM Corporation Platform Computing 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+ SERVERS 21,000+ CUSTOMERS 22,000,000+ DOMAINS

9. © 2014 IBM Corporation Platform Computing 9 Workload I/O intensity SoftLayer’s architecture outperforms by >50% equivalent AWS instances for high I/O workloads Control (APIs, hardware / network configurability) SoftLayer offers hundreds of hardware configurations vs. 14 for AWS ~2,000 APIs for SoftLayer vs. ~60 for AWS and none for RAX Integrated platform of multiple architectures Unified integration & control panel for multiple cloud architectures RAX requires paid bridge, different control interfaces Ready to use Platform LSF & Platform Symphony clusters in the cloud Low intensity workloads Low degree of control and customization AWS IBM High intensity workloads High degree of control and customization Single platform Seamless integration DIFFERENTIATORRATINGIBM ADVANTAGES RAX

10. © 2014 IBM Corporation Platform Computing 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. © 2014 IBM Corporation Platform Computing 11 Optimal performance for technical computing apps Industrial Manufacturing Benchmark – Structural Mechanics EDA Benchmark (IBM-MESA) Note: Benchmark results were obtained by IBM and have not yet been externally audited or validated.

12. © 2014 IBM Corporation Platform Computing 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. © 2014 IBM Corporation Platform Computing 13 Industry-leading workload management 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 23 of 30 largest commercial enterprises Over 5M CPUs under management 60% of top financial services companies

14. © 2014 IBM Corporation Platform Computing 14 IBM Platform LSF 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 14

15. © 2014 IBM Corporation Platform Computing 15 IBM Platform Symphony 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 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 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. © 2014 IBM Corporation Platform Computing 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. © 2014 IBM Corporation Platform Computing 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. © 2014 IBM Corporation Platform Computing 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. © 2014 IBM Corporation Platform Computing 19 IBM Platform Computing Cloud Service Making the Cloud Work for You Unmatched Expertise Analytics, Technical Computing, Software, Services and ISV Partnerships IBM Hybrid Cloud Consolidation Supporting heterogeneous IBM and non-IBM infrastructure Consolidation Supporting heterogeneous IBM and non-IBM infrastructure Cloud Leadership Expertise from Client Engagements powered by On SmartCloud Unmatched Capabilities Policy-driven Workload Management On Premise Software & Systems

20. © 2014 IBM Corporation Platform Computing 20 Thank You

21. © 2014 IBM Corporation Platform Computing 21 SoftLayer and Amazon EC2 Products tested NAME IaaS Provider CPU CoresMemory (GB) Disk Space (GB) Physical / Virtual Hourly Rate (USD) SL PM SoftLayer16641000[1]Physical$1.85[2] SL VM SoftLayer88500[3]Virtual$0.88 SL PM (ded) SoftLayer16641000[1]Physical$3.83[5] EC2 CC2 Amazon EC2 (CC2) 3260.53360Virtual$2.40[4] EC2 2XL Amazon EC2 (c1.xlarge) 87840Virtual$0.58 SL Physical MachineIntel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz SL Physical Machine (dedicated)Intel® Xeon® CPU E5-2690 0 @ 2.90GHz SL Virtual MachineIntel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz Amazon CCI2Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz Amazon 2XL Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz

22. © 2014 IBM Corporation Platform Computing 22 Memory Bandwidth

23. © 2014 IBM Corporation Platform Computing 23 CPU Performance

24. © 2014 IBM Corporation Platform Computing 24 Network Bandwidth

25. © 2014 IBM Corporation Platform Computing 25 Network Latency

26. © 2014 IBM Corporation Platform Computing 26 Input / Output Performance

27. © 2014 IBM Corporation Platform Computing 27 Software Compilation

28. © 2014 IBM Corporation Platform Computing 28 Life Science (BWA)

29. © 2014 IBM Corporation Platform Computing 29 EDA Benchmark (IBM-MESA)

30. © 2014 IBM Corporation Platform Computing 30 Provisioning Time

31. © 2014 IBM Corporation Platform Computing 31 Industrial Manufacturing – Structural Mechanics

32. © 2014 IBM Corporation Platform Computing 32 Industrial Manufacturing – CFD