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IBM Storage for Analytics, Cognitive and Cloud
The document provides an overview of IBM's storage solutions, detailing software-defined storage (SDS), analytics, and cloud offerings aimed at optimizing resource utilization and scalability. It highlights the differences between software-defined environments and traditional infrastructure, emphasizing flexibility, cost savings, and management simplicity. Key products such as IBM Spectrum Scale, Spectrum Protect, and IBM Cloud Object Storage are discussed, showcasing their capabilities in managing both structured and unstructured data while addressing performance, security, and disaster recovery needs.
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IBM Storage for Analytics, Cognitive and Cloud
- 1. © 2017 IBMCorporation IBM Storage Software Defined, Analytics, Cognitive, and Cloud Storage solutions Tony Pearson – IBM Master Inventor and Senior IT Architect March 2017
- 2. © 2017 IBMCorporation IBM Storage Presentation Agenda Perform quickly Scale Dramatically Support Elasticity Cloud, Analytics, Mobil and Social Support operations Manage cost Grow systematically Traditional workloads • Software Defined Storage solutions • Analytics and Cognitive Storage solutions • IBM Cloud Storage solutions 2
- 3. © 2017 IBMCorporation IBM Storage Presentation How is Software Defined Environment different? Applications… Business Requirements Infrastructure… Servers, Storage, Networks Optimize Your ResourcesOptimize Your Resources Automate Your WorkloadsAutomate Your Workloads Simplified Management Simplified Management ComputeCompute StorageStorage NetworkNetwork APIs Orchestration Service Levels Standard Interfaces Provisioning Virtualization Control Plane Data Plane Facilities Server Admin Storage Admin Application Owner Network Admin 3
- 4. © 2017 IBMCorporation IBM Storage Presentation Hardware independence Integrated view Ease of management Scalability Cost savings Increased utilization Speed Flexible Remove bottlenecks Open approach to infrastructure SDS Benefits Mentioned (unaided) Since results are based on qualitative findings specific number of mentions intentionally removed from chart SDS expected value – Top 7 Reasons 4
- 5. © 2017 IBMCorporation IBM Storage Presentation Control Plane vs. Data Plane Data Plane Control Plane Resource Pools and Quotas Quality of Service (QoS) Independent Scalability 5
- 6. © 2017 IBMCorporation IBM Storage Presentation OpenStack IBM Bluemix Proprietary IBM is a platinum sponsor of OpenStack Foundation OpenStack open source code can manage IBM compute, network and storage resources OpenStack supports x86, POWER Systems and z System mainframe IBM offers OpenStack Cinder interfaces on most of its major storage products and OpenStack Swift interfaces for object access IBM offerings are based on OpenStack open source code with value-added proprietary features from IBM IBM Cloud Orchestrator supports a variety of server hypervisors. IBM BlueBox and IBM PowerVC provide additional features IBM Spectrum Control™ provide reporting, provisioning, trouble shooting and chargeback capabilities VMware and Microsoft are entirely proprietary, but have a large market share for x86-based server infrastructure IBM was VMware’s first OEM and joint development partner (since 1998) IBM Global Services is one of VMware’s largest customers IBM and Microsoft agreement to offer SQL Server and .NET on IBM Cloud and IBM software on Microsoft Azure “Some assembly required” Enterprise-ready out of the box x86, POWER systems and z System mainframe Concerns about vendor lock-in IBM is Focused on these Software Defined Environments 6
- 7. © 2017 IBMCorporation IBM Storage Presentation Software Defined Control and Deployment Administrator- Controlled Software-Controlled How is it controlled? • ProtecTIER appliance and gateway • IBM Spectrum Storage™ family • XIV Storage System • IBM Cloud Object Storage System Howisitdeployed? Industry-Standard Hardware • Software • Pre-built systems • Cloud services • Enterprise Tape drives and libraries • FlashSystem • Storwize with Intel QuickAssist • DS8000 Specialized Hardware • Co-processors • ASICs, FPGAs • AdaptersI II IVIII Storage for Software Defined Environments Software Defined Storage Runs on industry-standard hardware Full suite of storage services Embraces multiple storage options 7
- 8. © 2017 IBMCorporation IBM Storage Presentation Different Clients have Different Focus Cloud and Managed Service Providers • Focus on industry-standard x86 and OpenPOWER servers that can be quickly re-purposed • Offer services based on advanced software that can be deployed as needed on existing industry-standard equipment • Predictable, consistent performance Focus: Industry-standard HW Focus: Software Controls • Focus on Software APIs to simplify, automate and control existing investments • Use specialized hardware to provide optimal performance for mission-critical applications Data Centers 8
- 9. © 2017 IBMCorporation IBM Storage Presentation IBM Storage Portfolio – Family Portrait IBM Spectrum Control IBM Spectrum Scale Elastic Storage Server IBM Spectrum Archive DeepFlash 150 IBM Spectrum Virtualize SVC, Storwize IBM Spectrum Protect IBM Cloud Object Storage System Virtual Tape Systems FlashSystem IBM Spectrum Accelerate Libraries IBM Spectrum Copy Data Management XIV Drives DS8000 All-Flash Flash/Disk Hybrid Data Management Object Store Disk/Tape Physical Tape 9
- 10. © 2017 IBMCorporation IBM Storage Presentation IBM Storage Portfolio – Software Defined Block Storage Spectrum Scale Elastic Storage Server IBM Spectrum Virtualize IBM Spectrum Accelerate FlashSystem XIV DS8000 All-Flash Flash/Disk Hybrid • Storage virtualization of almost 400 different flash and disk systems • Thin provisioning, Real-time Compression (RtC), FlashCopy and Remote Mirroring capability • Based on technology from SAN Volume Controller and Storwize family of products • Offers hot-spot free block-level access across internal flash and disk resources • Thin provisioning, Space-efficient Snapshots and Remote Mirroring capability • Based on technology from XIV Storage System 10
- 11. © 2017 IBMCorporation IBM Storage Presentation IBM Storage Portfolio – Software Defined File and Object Storage 11 Spectrum Scale Elastic Storage Server Spectrum Archive All-Flash Flash/Disk Hybrid Data Management Object Store Physical Tape • Offers a global name space of file and object access storage • Space-efficient snapshots, Information Lifecycle management (ILM), Active File Management (AFM) and remote mirroring • Based on technology from IBM General Parallel File System (GPFS) • Extends IBM Spectrum Scale™ to IBM tape libraries, with LTO or Enterprise tape drives • Drastically lowers the cost for long-term data retention • Based on technology from IBM Linear Tape File System (LTFS)
- 12. © 2017 IBMCorporation IBM Storage Presentation IBM Storage Portfolio – Data Management Solutions 12 Spectrum Control Spectrum Protect Spectrum Copy Data Management Data Management • Capacity Planning and Provisioning • Performance Monitoring and Alerts • Storage Analytics • Policy-based Automation • Service level provisioning • Reclaim space • Optimize data placement • Based on technology from IBM SmartCloud Virtual Storage Center, IBM Tivoli Storage Productivity Center • Offers Backup, Archive and HSM capabilities • Extended to support Virtual and Cloud environments • Based on technology from IBM Tivoli Storage Manager Unified Backup and Recovery Suite • In place copy management for storage reduction, on-premises and cloud copy creation automation for increased agility
- 13. © 2017 IBMCorporation IBM Storage Presentation IBM Spectrum Storage™ Three-pronged Strategy Software, Systems or Services Software • Install software on your own choice of qualified industry-standard x86, POWER and z System servers Pre-built Systems • Deliver hardware pre- installed with software • Partner with third party providers that provided added value and services Cloud Services • Provide offerings on IBM Bluemix Cloud • Partner with other Cloud Service Providers Scale 13
- 14. © 2017 IBMCorporation IBM Storage Presentation Agenda Perform quickly Scale Dramatically Support Elasticity Cloud, Analytics, Mobil and Social Support operations Manage cost Grow systematically Traditional workloads • Software Defined Storage solutions • Analytics and Cognitive Storage solutions • IBM Cloud Storage solutions 14
- 15. © 2017 IBMCorporation IBM Storage Presentation A new way at Looking at Data Transaction and Application data Database Administrators System of Record Gather data into databases 1 ReportsBatch Processing Business Analysts Analyze reports 2 Business Executives Make decisions 3 statistical models Dashboard Analyze data2 Data Scientists Empowered Employees Make Decisions and Take Action 3 System of Insight Gather and Identify sources of data 1 Storage Administrators 15
- 16. © 2017 IBMCorporation IBM Storage Presentation What does a Data Scientist do? “It’s no longer hard to find the answer to a given question; the hard part is finding the right question. And as questions evolve, we gain better insight into our ecosystem and our business.” -- Kevin Weil, Lead Analyst at Twitter A data scientist must have… – Strong business acumen – Modeling, statistics, analytics and math skills – Ability to communicate findings, tell a story from the data, to both business and IT leaders Inquisitive: exploring, doing “what if?” analyses, questioning existing assumptions and processes to spot trends, patterns and hidden insight. Computers are useless. They can only give you answers. – Pablo Picasso Source: http://www-01.ibm.com/software/data/infosphere/data-scientist/ http://blog.cloudera.com/blog/2010/09/twitter-analytics-lead-kevin-weil-and-a-presenter-at-hadoop-world-interviewed/ 16
- 17. © 2017 IBMCorporation IBM Storage Presentation IBM InfoSphere BigInsights is a 100% standard Hadoop distribution By default, open source components are always deployed Elect to use proprietary capabilities depending on your needs In some cases, proprietary capabilities offer significant benefits Open standards first, but with freedom of choice HDFS YARN HIVE MapReduce PIG Spectrum Scale Spectrum Symphony BigSQL Adaptive MapReduce BigSheets Share data with non-Hadoop applications and simplify data management Re-use existing tools and expertise, Avoid additional development costs Boost performance, support time- critical workloads, do more with less True multi-tenancy to boost service levels and avoid duplication on infrastructure Simplify access for end-users, minimize software development 17
- 18. © 2017 IBMCorporation IBM Storage Presentation Spectrum Scale – Flexible File and Object Storage FS1 FS256. . . Exabyte-Scale, Global Namespace, one big file system, or up to 256 file systems Each file system can be further divided into fileset containers Metadata can be separated to its own Pool or intermixed with data Files and objects can be migrated to Tape, Object store, or Cloud ROBO Other Datacenters 18
- 19. © 2017 IBMCorporation IBM Storage Presentation Elastic Storage Server (ESS) – Spectrum Scale Pre-built Systems 5146-GLx models GL2, GL4, GL6 60-drive 4U drawers • SSD and Nearline HDD 5146-GSx models GS1, GS2, GS4, GS6 24-drive 2U drawers • All SSD • SSD and 10K HDD Spectrum Scale on IBM POWER8 servers 5147-GFx models DeepFlash ESS GF1, GF2 64-drive 3U drawers • Pre-loaded with 32 drives • All SSD (8 TB) 19
- 20. © 2017 IBMCorporation IBM Storage Presentation Hadoop Analytics – HDFS vs IBM Spectrum Scale™ HDFS Save Results Discard Rest IBM HDFS Transparency Connector allows HDFS-based programs to process data without application changes (100% compatible) IBM Spectrum Scale Application data stored on IBM Spectrum Scale is readily available for analytics Save Results JFS2 NTFS EXT4 Data Sources mashup of structured and unstructured data from a variety of sources Actionable Insights Provides answers to the Who, What, Where, When, Why and How Business Intelligence & Predictive Analytics > Competitive Advantages > New Threats and Fraud > Changing Needs and Forecasting > And More! 20
- 21. © 2017 IBMCorporation IBM Storage Presentation Agenda Perform quickly Scale Dramatically Support Elasticity Cloud, Analytics, Mobil and Social Support operations Manage cost Grow systematically Traditional workloads • Software Defined Storage solutions • Analytics and Cognitive Storage solutions • IBM Cloud Storage solutions 21
- 22. © 2017 IBMCorporation IBM Storage Presentation Clients are facing explosive growth in Unstructured Data, which is exactly why Object Storage is so critical *Exabytes 0 20 40 60 80 100 120 2009 2010 2011 2012 2013 2014 2015 2016 2017 Unstructured Data Structured Data Source: IDC Unstructured data growth of 60–80% per year creates Web-scale storage needs *1 exabyte = 1,000 petabytes =1 million terabytes = 1 billion gigabytes Problem - Traditional and Legacy Storage Designed for Transactional, Not Unstructured Data 22
- 23. © 2017 IBMCorporation IBM Storage Presentation Object Store for Unstructured data Hot Data High-IOPS and Low-Latency All-Flash and Hybrid Flash/Disk Information Lifecycle Management (ILM) Structured data / Random-Access Virtual Machines and VDI Single-Tenancy Static and Stable data Backups, Files, Archives Seismic, Research, Telemetry, HPC Video, Animation, Body Cams Photos, Images, CAD/CAM, GIS Music, Audio Genomic, Medical Images Multi-tenancy Object Store provides a • Secure • Reliable • Scalable • Cost Effective Platform For Unstructured data Object Store is not designed for • High IOPS workflows • Transaction Processing • Inherent ILM 23
- 24. © 2017 IBMCorporation IBM Storage Presentation How is Object Storage Different? Block and File Storage – Decide where to put it • For block, which array/volume/LUN • For file, which filer/subdirectory – Remember where it is to get it back – Read/Write records, append data – Limits on LUN size, number of files Object Storage – Provide data over to the Object storage • Get “claim stub” reference locator – Use or share “claim stub” to access data HTTP, Openstack Swift, S3 – Get/Put/Delete object in its entirety – Effectively “unlimited” scalability 24
- 25. © 2017 IBMCorporation IBM Storage Presentation Data Protection Schemes Tolerate 1 drive failure Tolerate 2 drive failures Tolerate “M” failures RAID-1 / RAID-10 K pieces 2 x K slices RAID-5 K pieces K + 1 slices 2.0X 1.2X 3.0X 1.5X 1.7XTriplication K pieces 3 x K slices RAID-6 K pieces K + 2 slices Erasure Coding K pieces K+M = N slices 25
- 26. © 2017 IBMCorporation IBM Storage Presentation Data Growth at Petabyte (PB) Scale PB of data 3 to 5x Data Protection RAID, Mirrors, Replication, Tape Data Protection High Availability & Disaster Recovery Geo-Distribution & Erasure Coding Infrastructure Proprietary, specialized hardware, multiple systems Operations More than 1 FTE per PB Maintenance outages Infrastructure Software Defined, Commodity Hardware, Single System Operations Less than 1 FTE per 6 PB Single system, Secure Self-healing 1.7 x 60% Less Hardware & Rack space Traditional Approach IBM Cloud Object Storage Approach 70% Lower TCO
- 27. © 2017 IBMCorporation IBM Storage Presentation CONTENT TRANSFORMATION IBM Cloud software encrypts, slices and applies Information Dispersal Algorithms otherwise known as erasure coding policies to the data. Data Ingest Accesser Software Storage Nodes Site 1 Site 2 Site 3 Physical Distribution Slices are distributed to separate disks and industry standard x86 hardware across geographic locations. Data Retrieval Storage Nodes Reliable Retrieval An operator defined subset of slices is needed to retrieve data bit perfectly in real time. Site 1 Site 2 Site 3 BENEFITS The level of resiliency is fully customizable resulting in a massively reliable and efficient way to store data at scale as opposed to RAID and replication techniques. Accesser Software Slicestor Software How the IBM Cloud Object Storage System Works 27
- 28. © 2017 IBMCorporation IBM Storage Presentation IBM Cloud Object Storage System – Single vs. Multi-Site 28 Single Site Better performance, when site-tolerance not a factor, better than traditional RAID-5 / RAID-6 Two Site – Vault Mirroring Allows customers to leverage existing two-site infrastructure. Provides concurrent reads and writes despite communication disruption between locations. Local data better than traditional RAID-5 / RAID-6 Three to Nine Sites – Geographically Dispersed Consider adding IBM Bluemix Cloud or leverage existing datacenter locations to provide a broader distribution of data for higher availability and scalability
- 29. © 2017 IBMCorporation IBM Storage Presentation Scalability Site 1 Site 2 Site 3 S3 Compatible API Openstack Swift Compatible API Simple Object API Slicestor Software Accesser Software Scalability – Scale performance and/or capacity at any time with no downtime to operations Need more Performance? Add more Accesser nodes Need more Capacity? Add more disks to existing Slicestor nodes, or add more storage pools – All pools must have the same number of nodes – Difference storage pools can have different amounts of storage – All nodes in each storage pool must have same amount of storage Storage Pool 1 Storage Pool 2 Storage Pool 3 29
- 30. © 2017 IBMCorporation IBM Storage Presentation IBM Cloud Object Storage System – Access Methods Data Site 1 Site 2 Site 3 S3 Compatible API Openstack Swift Compatible API Simple Object API Slicestor Software Accesser Software DIRECT API ACCESS The Accesser Software exposes three REST APIs for ingest and retrieval. Applications with knowledge of these APIs can leverage IBM Cloud Object Storage directly. Site 1 Site 2 Site 3 S3 Compatible API Openstack Swift Compatible API Simple Object API Slicestor Software Accesser Software NAS (NFS/SMB) Backup/Archive General Applications PARTNER BASED A variety of Certified technology partners can leverage IBM’s multi tenancy support to satisfy concurrent use cases on a single IBM Cloud Object Storage instance. Hadoop 30
- 31. © 2017 IBMCorporation IBM Storage Presentation IBM Spectrum Protect provides protection and recovery of: • Workstations, Files and Systems • Databases and Applications • Application-aware hardware-based snapshots • Virtual Environments • Replicated critical data • On premises or Cloud From remote/branch offices to data centers to disaster recovery sites – We have you covered with our unified solution. UNIFIED PROTECTION AND RECOVERY IBM Spectrum Protect family 31
- 32. © 2017 IBMCorporation IBM Storage Presentation IBM Spectrum Protect – Data Footprint Reduction techniques Client compression •Files compressed by client before transmission •Conserves network bandwidth and server storage Compress Client-side Deduplication •Reduces network traffic by deduplication data before transfer •Sends to server’s dedupe pool Progressive “Incremental Forever” •After initial backup, file is not backed up again unless it changes •Conserves network bandwidth and server storage Server-side Deduplication and Compression •Duplicate data only stored once •In-line dedupe to directory or cloud pools •Files compressed by server after in-line dedupe for containers •Conserves network bandwidth when writing to cloud Storage Pool Deduplication and Compression •Deduplication performed by storage device (VTL or NAS) •Compression performed by storage device (Disk or Tape) •Conserves storage capacity Exclusion Rules •Nodes can configure include/exclude lists •Eliminates the need to process data for backup, archive and space management 32
- 33. © 2017 IBMCorporation IBM Storage Presentation IBM Spectrum Protect – Device Classes and Containers Physical Tape Drives and Libraries Virtual Tape Libraries (VTL) --- disk pretending to be tape Device Class: TAPE Device Class: FILE Disk pools written in sequential manner, allows multiple reads Device Class: DISK Pre-allocated space Random access Sequential Access Device Class Container Pools Container: DIRECTORY Container: CLOUD Slower,LowercostFaster,moreexpensive • More intelligent space utilization and I/O balancing across directories • Dynamic allocation and removal of files like Sequential FILE volumes • Re-usable space within a container like Random DISK volumes On-premises or Off-premises 33
- 34. © 2017 IBMCorporation IBM Storage Presentation Container Pools can be Directory or Cloud-based Containers are managed by the server – Very little interaction from administrators Server1 Directory pool has directories with one or more Containers Cloud Pool has just Containers, represented as Object Store Dir1 Dir2 Dir3 Dir4 Container 1 Container 5 Container 2 Container 6 Container 3 Container 7 Container 4 Container 9 Container 1 Container 5 Container 2 Container 6 Container 3 Container 7 Container 4 Container 9 SAN NAS 34
- 35. © 2017 IBMCorporation IBM Storage Presentation IBM Spectrum Protect supports Cleversafe! Client nodes • IBM Cloud Object Storage System (using S3-compatible API) Off-premises: • IBM SoftLayer • Amazon S3 On-premises IBM Spectrum Protect Server 35
- 36. © 2017 IBMCorporation IBM Storage Presentation IBM’s approach to storage addresses today’s challenges, and tomorrow’s opportunities… Simplify Storage for Hybrid Cloud Self-service, Software-defined Deliver IT as a Service, increase access to information and improve ROI Accelerate Data Delivery and Insight Optimal performance with Flash Real-time Insights from a variety of data Reduce Costs with Storage Efficiency Data footprint reduction Tape and Object storage systems IBM Storage – Setting the Data Agenda 36 Analytics & Cognitive Software Defined Storage All-Flash Arrays Object Storage * Source: IDC, Synergy, Gartner. #1 Flash based on capacity shipped #1 #1 #1 #1
- 37. © 2017 IBMCorporation IBM Storage Presentation 37
- 38. © 2017 IBMCorporation IBM Storage Presentation 38 IBM Tucson Executive Briefing Center Tucson, Arizona is home for storage hardware and software design and development IBM Tucson Executive Briefing Center offers: –Technology briefings –Product demonstrations –Solution workshops Take a video tour! –http://youtu.be/CXrpoCZAazg
- 39. © 2017 IBMCorporation IBM Storage Presentation About the Speaker Tony Pearson is a Master Inventor and Senior IT Architect for the IBM Storage product line. Tony joined IBM Corporation in 1986 in Tucson, Arizona, USA, and has lived there ever since. In his current role, Tony presents briefings on storage topics covering the entire IBM Storage product line, IBM Spectrum Storage software products, and topics related to Cloud Computing, Analytics and Cognitive Solutions. He interacts with clients, speaks at conferences and events, and leads client workshops to help clients with strategic planning for IBM’s integrated set of storage management software, hardware, and virtualization solutions. Tony writes the “Inside System Storage” blog, which is read by thousands of clients, IBM sales reps and IBM Business Partners every week. This blog was rated one of the top 10 blogs for the IT storage industry by “Networking World” magazine, and #1 most read IBM blog on IBM’s developerWorks. The blog has been published in series of books, Inside System Storage: Volume I through V. Over the past years, Tony has worked in development, marketing and consulting for various storage hardware and software products. Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in Electrical Engineering, both from the University of Arizona. Tony holds 19 patents for inventions on storage hardware and software products. 9000 S. Rita Road Bldg 9032 Floor 1 Tucson, AZ 85744 +1 520-799-4309 (Office) tpearson@us.ibm.com Tony Pearson Master Inventor Senior IT Architect IBM Storage 39
- 40. © 2017 IBMCorporation IBM Storage Presentation Email: tpearson@us.ibm.com Twitter: twitter.com/az990tony Blog: ibm.co/Pearson Books: www.lulu.com/spotlight/990_tony IBM Expert Network on Slideshare: www.slideshare.net/az990tony Facebook: www.facebook.com/tony.pearson.16121 Linkedin: https://www.linkedin.com/in/az990tony Additional Resources from Tony Pearson 40
- 41. © 2017 IBMCorporation IBM Storage Presentation Trademarks and Disclaimers Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBM Corp. and Quantum in the U.S. and other countries. Other product and service names might be trademarks of IBM or other companies. Information is provided "AS IS" without warranty of any kind. The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here. Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography. Photographs shown may be engineering prototypes. Changes may be incorporated in production models. © IBM Corporation 2016. All rights reserved. References in this document to IBM products or services do not imply that IBM intends to make them available in every country. Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the World Wide Web at http://www.ibm.com/legal/copytrade.shtml. ZSP03490-USEN-00 41