IBM Power Systems: Designed for Data Open innovation to put data to work across the enterprise
Digitized data will grow by 50% to 6 trillion TB in this year alone
80% of all data is unstructured and growing 15X the r...
The Opportunities from Big Data & Analytics are Infinite
1000X faster insights
75% productivity improvement
10X storage...
First processor designed and optimized for big data & analytics with POWER8 innovative design
Delivering the world’s firs...
Processors flexible, fast execution of analytics algorithms
Memory large, fast workspace to maximize business insight
Da...
Power S812L
Power S822L
Power S824L*

1 or 2 sockets

10 or 12 cores/socket

Up to 1 TB of Memory

1 or 2 so...
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges

Tackle...
Designed for Data: Big Memory for Big Data
Speed access to data with larger in- memory databases and consolidate more app...
24:1 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation t...
Designed for Big Data: Drive Infrastructure Optimization
24X infrastructure
consolidation savings
vs. x86 for in-memory...
Deliver new acceleration capabilities for Analytics, Big Data, Java and other technical computing workloads

Runs patte...
Big Data & Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions:
•
Simple to Acquir...
“While traditional TV ratings research will continue to be important, it must be augmented by social media intelligence.” ...
“We cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology – withou...
Instructions
Data
Results
C1C2C3C4C5C6C7C8C1C2C3C4C5C6C7C8
Next Generation In-Memory In-memory columnar processing wit...

The System: 32 cores, 1TB memory, 10TB table with 100 columns and 10 years of data

The Query: How many “sales” did ...
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
8...
The more concurrency and complexity, the greater the performance gains from POWER8 versus x86
Based on IBM internal tests...
What are Industry Analysts saying about BLU Acceleration on Power Systems
http://bit.ly/1ndCUmA
http://bit.ly/1ndGxZU
I...
IBM can help you build your solution on the platform that was designed for big data & analytics
All Data
Key
Business P...
Power Systems are designed for Big Data & Analytics
3X less storage infrastructure for Hadoop deployments vs typical x862...
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured ...
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
http://bit.ly/1...
What are Industry Analysts saying about Hadoop and Streams on Power Systems
http://ibm.co/1pdGES9
http://...
Why Linux ...
Join Power Systems in social media!
Where to learn more about Big Data & Analytics on IBM Power Systems
Start the conver...
Open innovation to put data to work across the enterprise
Trademarks and notes
IBM Corporation 2014
IBM, the IBM logo and ibm.com are registered trademarks, and other company, p...
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IBM Power Systems: Designed for Data

IBM Power Systems: Designed for Data Open innovation to put data to work across the enterprise
Published on: Mar 4, 2016
Published in: Technology      
Source: www.slideshare.net


Transcripts - IBM Power Systems: Designed for Data

  • 1. IBM Power Systems: Designed for Data Open innovation to put data to work across the enterprise
  • 2. Digitized data will grow by 50% to 6 trillion TB in this year alone 80% of all data is unstructured and growing 15X the rate of structured data 73% of organizations have invested or plan to invest in Big Data & Analytics Big Data is becoming the New Competitive Advantage source: grow by 50% - IDC Predictions 2014: Battles for Dominance — and Survival — on the 3rd Platform; Frank Gens; December 2013, IDC #244606; http://www.sapexecutivenetwork.com/phocadownload/RTDP/retfeb/idc predictions 2014 battles for dominance - and survival - on the 3rd platform 2.pdf source: 73 percent of organizations - http://www.gartner.com/newsroom/id/2848718
  • 3. The Opportunities from Big Data & Analytics are Infinite 1000X faster insights 75% productivity improvement 10X storage space savings 3.5X less infrastructure 68% less attrition among high-value customers 50% increase sales order capacity 140X faster queries Source(s): Fiserv (Case Study), NC State Univ (Video), Coca Cola (eBook, Video, Case Study), STO (Case Study), Dillards (Video), BCBS of Tenn (eBook), BCBS of Tenn (eBook), Fossil (based on customer internal benchmarks)
  • 4. First processor designed and optimized for big data & analytics with POWER8 innovative design Delivering the world’s first open server ecosystem revolutionizing the way IT is developed & delivered Superior cloud price / performance advantages & security to move data-centric applications to the cloud Designed for big data Open Innovation platform Superior cloud economics Power Systems with POWER8 are built with open innovation to put data to work across the enterprise IBM Power Systems built on
  • 5. Processors flexible, fast execution of analytics algorithms Memory large, fast workspace to maximize business insight Data Bandwidth bring massive amounts of information to compute resources in real-time 4X threads per core vs. x86 (up to 1500 threads per system) 4X memory bandwidth vs. x86 (up to 16TB of memory) 2.4X more I/O bandwidth than POWER7 Designed for Big Data: optimized Big Data & Analytics performance Optimized for a broad range of big data & analytics workloads: 82X is based on IBM internal tests as of April 17, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB BI workload in a controlled laboratory environment. Test measured 60 concurrent user report throughput executing identical Cognos report workloads. Competitor configuration: HP DL380p, 24 cores, 256GB RAM, Competitor row-store database, SuSE Linux 11SP3 (Database) and HP DL380p, 16 cores, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S822L, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). Results may not be typical and will vary based on actual workload, configuration, applications, queries and other variables in a production environment. Industry Solutions 5X Faster
  • 6. Power S812L Power S822L Power S824L*  1 or 2 sockets  10 or 12 cores/socket  Up to 1 TB of Memory  1 or 2 sockets  6, 8,10 or 12 cores/socket  Up to 2 TB of Memory* Expanding the POWER8 Scale-out server offerings Power S814 Power S822 Power S824 Source: http://www.ibm.com/systems/power/announcement.html
  • 7. Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges  Tackle your largest workloads with increased system scalability  Deliver insights in real time with increased performance per-core  Maximize your customers experience with Enterprise RAS Power E870 • Up to 80 cores • 32 or 40 core nodes (5U) • Up to 4TB Memory • 1 or 2 Nodes per system Power E880 • Up to 128* cores • 32 or 48 core nodes (5U) • Up to 16* TB Memory • 1 to 4 Nodes per system  Reduce costs with increased energy efficiency  Manage the peaks and valleys of workloads Power Enterprise Pools  Manage a wider range of workloads with up to 20 VMs per-core Power E880 Power E870 * Initial GA supports 2 nodes, 64 cores, 8 TB with MES to 3 or 4 nodes in 2015
  • 8. Designed for Data: Big Memory for Big Data Speed access to data with larger in- memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
  • 9. 24:1 consolidation 8X faster insights Data Engine for Analytics CAPI-attached Flash 3X less storage Open innovation to deliver insight to the point of impact with Big Data & Analytics on Power Systems NVIDIA GPU Accelerator 82X faster insights Next Generation In-Memory source: for 24:1 system consolidation ratio (12:1 rack density improvement) based on a single IBM S824, (24 cores, POWER8 3.5 GHz), 256GB RAM, AIX 7.1 with 40 TB memory based Flash replacing 24 HP DL380p, 24 cores, E5-2697 v2 2.7 GHz), 256GB RAM, SuSE Linux 11SP3 . Inbound network limits performance to 1M IOPs in both scenarios, equal capacity (#user, data) in both cases. x86 cost includes 10k$ for 2x 1U switches source: for 82X is based on IBM internal tests as of April 17, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB BI workload in a controlled laboratory environment. Test measured 60 concurrent user report throughput executing identical Cognos report workloads. Competitor configuration: HP DL380p, 24 cores, 256GB RAM, Competitor row-store database, SuSE Linux 11SP3 (Database) and HP DL380p, 16 cores, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S822L, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). Results may not be typical and will vary based on actual workload, configuration, applications, queries and other variables in a production environment.
  • 10. Designed for Big Data: Drive Infrastructure Optimization 24X infrastructure consolidation savings vs. x86 for in-memory data IBM Data Engine for NoSQL Solution allows clients to crunch data faster and shrink data center footprints  Reduce server footprint with in-memory consolidation  Cost efficient with 3x lower cost per user IBM Data Engine for NoSQL Solution • IBM Power S822L • CAPI-Attached FPGA Accelerator • IBM FlashSystem 840 • Ubuntu Linux • Redis Software source: for 24:1 system consolidation ratio (12:1 rack density improvement) based on a single IBM S824, (24 cores, POWER8 3.5 GHz), 256GB RAM, AIX 7.1 with 40 TB memory based Flash replacing 24 HP DL380p, 24 cores, E5-2697 v2 2.7 GHz), 256GB RAM, SuSE Linux 11SP3 . Inbound network limits performance to 1M IOPs in both scenarios, equal capacity (#user, data) in both cases. x86 cost includes 10k$ for 2x 1U switches
  • 11. Deliver new acceleration capabilities for Analytics, Big Data, Java and other technical computing workloads  Runs pattern extraction analytic workloads faster  Delivers faster results and lower energy costs by accelerating processor intensive applications Power System S824L • Up to 24 POWER8 cores • Up to 1 TB of memory • Up to 2 NVIDIA K40 GPU Accelerators • Ubuntu Linux running bare metal 8X faster analytics workloads that extract patterns from large amounts of data Open innovation with POWER8 and NVIDIA GPU technology borne of the OpenPOWER Foundation
  • 12. Big Data & Analytics Solutions for Fastest Time to Value DataStage POWER8 Data Optimized Solutions: • Simple to Acquire Order server, storage, software and support from a single vendor • Simple to Deploy Pre-installed and pre-optimized server, storage & software • Simple to Implement Highly scalable to grow as your analytics need change IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought IBM Solution for Analytics Enable rapid deployment of business and predictive analytics IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
  • 13. “While traditional TV ratings research will continue to be important, it must be augmented by social media intelligence.” -- KC Leung, Senior Manager, Marketing Research and Information Department, Unlock the value of customer sentiment in social media TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits. • IBM Social Media Analytics (SaaS) • IBM DB2 with BLU Acceleration • IBM Cognos BI, IBM DataStage • IBM Power Systems • IBM Storwize V7000 Hong Kong’s first wireless commercial television station implements social media analytics to increase ratings Learn more (Press)
  • 14. “We cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology – without changing operations processes or investing in new hardware or software.” -- Bernhard Herzog, Team Manager Information Technology SAP, Balluff. Faster insight into critical data for better business decisions Achieved 98% faster access to business data, 50% faster SAP ERP response times, 7x faster access to documents, and near real-time access to essential information. • IBM Power Systems • IBM PowerVM, PowerHA • IBM DB2 with BLU Acceleration • SAP Business Warehouse, ERP • IBM Storage & Services World-leading manufacturer of sensor solutions gained faster insight into markets and customers Learn more (Press, Case Study)
  • 15. Instructions Data Results C1C2C3C4C5C6C7C8C1C2C3C4C5C6C7C8 Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage Actionable Compression Patented compression that preserves order so data can be used without decompressing Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data) Data Skipping Skips unnecessary processing of irrelevant data Encoded IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research & Development
  • 16.  The System: 32 cores, 1TB memory, 10TB table with 100 columns and 10 years of data  The Query: How many “sales” did we have in 2010? – SELECT COUNT(*) from MYTABLE where YEAR = ‘2010’  The Result: In seconds or less as each CPU core examines the equivalent of just 8MB of data 10TB data Actionable Compression reduces to 1TB In-memory Parallel Processing 32MB linear scan on each core via Vector Processing Scans as fast as 8MB through SIMD Result in seconds or less Column Processing reduces to 10GB Data Skipping reduces to 1GB DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA BLU Acceleration Illustration: 10TB query in seconds or less
  • 17. Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast Acceleration of analytics queries for reporting 82X is based on IBM internal tests as of April 17, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB BI workload in a controlled laboratory environment. Test measured 60 concurrent user report throughput executing identical Cognos report workloads. Competitor configuration: HP DL380p, 24 cores, 256GB RAM, Competitor row-store database, SuSE Linux 11SP3 (Database) and HP DL380p, 16 cores, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S822L, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). Results may not be typical and will vary based on actual workload, configuration, applications, queries and other variables in a production environment. 82X faster
  • 18. The more concurrency and complexity, the greater the performance gains from POWER8 versus x86 Based on IBM internal tests as of April 17, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB BI workload in a controlled laboratory environment. Test measured 60 concurrent user report throughput executing identical Cognos report workloads. Competitor configuration: HP DL380p, 24 cores, 256GB RAM, Competitor row-store database, SuSE Linux 11SP3 (Database) and HP DL380p, 16 cores, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S822L, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, SuSE Linux 11SP3 (Cognos). Results may not be typical and will vary based on actual workload, configuration, applications, queries and other variables in a production environment.
  • 19. What are Industry Analysts saying about BLU Acceleration on Power Systems http://bit.ly/1ndCUmA http://bit.ly/1ndGxZU IBM DB2 with BLU Acceleration on POWER8 for SAP: A No-Compromise Transactional and Analytic Platform IBM DB2 with BLU Acceleration on POWER8 for Cognos BI: Delivers higher levels of performance, while controlling costs
  • 20. IBM can help you build your solution on the platform that was designed for big data & analytics All Data Key Business Processes Unstructured Data Structured Data Industry Solutions IBM Watson Cognitive Business & Predictive Analytics
  • 21. Power Systems are designed for Big Data & Analytics 3X less storage infrastructure for Hadoop deployments vs typical x862 IBM Data Engine for Analytics designed to help clients speed up insights on massive amounts of data  Simplify operations - easy deploy and manage with 3x less storage infrastructure  Adapt and scale to your changing analytics needs IBM Data Engine for Analytics • POWER8 Scale-out servers • Red Hat Linux • BigInsights (Hadoop) & Streams • Platform Computing • Elastic Storage Server (GPFS)
  • 22. Delivering Customer Value Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems 37x FASTER INDEXING 14 days to 9 hours 3.5x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
  • 23. The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making http://bit.ly/1eCTJVu Industry: Company Question Sources Outcome Temporary workforce: Kelly Services Develop new service offerings in healthcare staffing SEC, URLs, trade journals, professional journals, insurance providers Decision to move forward in an unexpected healthcare domain Industrial Gases: Air Products Find new customers and market opportunities SEC, news feeds, industry publications, building permits Identification of a new customer planning to build new facilities University: NC State Identify commercial partners for new technologies SEC, URLs, industry publications Potential partners identified for collaborations Clinical Research Organization: PRA International Provide business intelligence for new clinical trials Clintrials, PubMed Identify new physicians/hospitals with expertise in areas of clinical trials Non-Governmental Organization: Clinton Health Care Access Initiative (CHAI) Find the fit between new technologies and market opportunities for disease diagnostics Clintrials, PubMed VC firms Identification of research labs active in cutting edge diagnostic research
  • 24. What are Industry Analysts saying about Hadoop and Streams on Power Systems http://ibm.co/1pdGES9 http://... Why Linux on Power Systems should be your system of choice for unstructured big data & analytics How companies are gaining high value insights with big data & analytics solutions built on IBM Power Systems
  • 25. Join Power Systems in social media! Where to learn more about Big Data & Analytics on IBM Power Systems Start the conversation with your IBM Representative or Business Partner  Connect with Power on Linkedin: bit.ly/poweronlinkedin  Like us on Facebook: bit.ly/poweronfacebook  Watch us on YouTube: bit.ly/poweronyoutube  Follow us on Twitter: #PowerSystems, #OpenPower, #IBMBigData, #IBMAnalytics, #IBMWatson, #IBMBLU, #IBMCognos, #IBMSPSS, #IBMStream, #IBMBigInsights, #BobFriske www.ibm.com/power Open innovation to put data to work across the enterprise
  • 26. Open innovation to put data to work across the enterprise
  • 27. Trademarks and notes IBM Corporation 2014 IBM, the IBM logo and ibm.com are registered trademarks, and other company, product, or service names may be trademarks or service marks of International Business Machines Corporation in the United States, other countries, or both. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml Other company, product, and service names may be trademarks or service marks of others. References in this publication to IBM products or services do not imply that IBM intends to make them available in all countries in which IBM operates. IBM and IBM Credit LLC do not, nor intend to, offer or provide accounting, tax or legal advice to clients. Clients should consult with their own financial, tax and legal advisors. Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer. IBM Global Financing offerings are provided through IBM Credit LLC in the United States, IBM Canada Ltd. in Canada, and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates and availability are based on a client’s credit rating, financing terms, offering type, equipment type and options, and may vary by country. Some offerings are not available in certain countries. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice.

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