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Superior Cloud Economics with Power Systems Simplified management and a secure path to hybrid cloud

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Superior Cloud Economics with Power Systems Simplified management and a secure path to hybrid cloud

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Page 1: Superior Cloud Economics with Power Systems

Superior Cloud Economics with Power Systems Simplified management and a secure path to hybrid cloud

Page 2: Superior Cloud Economics with Power Systems

Cloud is redefining technology, business and entire industries

50% purchase new servers for

cloud deployments

50% of enterprises will have full blown

hybrid cloud by 2017

Early adopters have nearly 2.5x higher gross profit than their peers and almost 2x the

revenue growth

58% of early adopters are

prioritizing open source cloud

platforms

Storage is 47% of Public Cloud

hardware infrastructure spend

Almost 40% of cloud purchasing

decisions are made/influenced by

LOB

Source: IBM Center for Applied Insights Under cloud cover: How leaders are accelerating competitive differentiation

Presenter
Presentation Notes
Revenue growth and high gross profit source: Source: IBM Center for Applied Insights Under cloud cover: How leaders are accelerating competitive differentiation that surveyed 802 cloud decision makers and users, spanning 13 countries and 24 industries. Almost half invested in new servers for their own private clouds and Integrated HW and SW systems are relatively infrequently purchased or repurposed for private cloud Source: IBM Cloud Buyer Journey October 2013 61% will deploy hybrid by mid-2014 Source: CAI study. Although this statistic is not contained in the output of the study, The 61% stat is those from the entire sample that were currently using, or planning on using hybrid cloud in the next 12 months (by mid-2014) Almost 40% of cloud purchasing decisions are made/influenced by LOB: Source: Forrester TAP: Business-Aligned Developers: The New Cloud Buyer & Decision-Maker – sponsored by IBM – November 2013 47% increase in spending on high-end servers: Source – Cloud Buyer Journey October 2013
Page 3: Superior Cloud Economics with Power Systems

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

Page 4: Superior Cloud Economics with Power Systems

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

Page 5: Superior Cloud Economics with Power Systems

Introducing record breaking Enterprise Power 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

Page 6: Superior Cloud Economics with Power Systems

Flexible, cloud-based private, public and hybrid offerings with Power Systems for scale-out or scale-up implementations

Performance & Agility

Economic Advantages Security

Accelerate big data insights and speed

hybrid cloud deployment

Scale to meet

business needs with price/performance

advantages

Protect critical systems and data

Built on open standards Simplified cloud management and a secure path to hybrid cloud

Presenter
Presentation Notes
There are certain system requirements needed to deliver on the promises of cloud computing. It starts with systems capable of supporting a cloud environment with a robust compute environment to support the variety of workloads that will deliver the services in the Cloud. As you have seen, Power Systems provide the performance needed to handle varied workloads and to respond to user requests quickly and effectively. With Cloud, it’s all about economics. It starts with a system priced in an affordable range yet capable of delivering the performance, scalability, reliability and security required. Scaling can be done in two typical ways: scale up or scale out. Power Systems can do both, and, with this release of the new scale-out servers, we can address the scale-out environments with competitively priced systems that deliver much more capability than competition for the same amount of money. Security has been one of Power Systems’ strong capabilities and that tradition continues with Power Systems built with POWER8 technology. Finally, and we will discuss this in the next lecture, Power Systems supports open standards, particularly for cloud, to provide clients with management tools that support open APIs to allow a choice of tools, products, and suppliers. The new generation of Power Systems built with POWER8 technology are being delivered in two phases with the delivery of the scale-out servers first, followed by the enterprise servers later. For Cloud, this first group of servers, our scale-out servers, are designed for those who want to scale out to build their cloud, whether that is an enterprise private cloud or an MSP building a public cloud or IaaS. Let’s look more closely at how Power Systems are designed to meet this scale-out cloud architecture.
Page 7: Superior Cloud Economics with Power Systems

7

Hardware TCA vs.

Oracle Ivy Bridge w/ VMWare

45% 3-yr. TCO savings

vs. Oracle Ivy Bridge w/ VMWare

$123,158

Better economics with POWER8 and WebSphere Application Server

Drive down TCA, TCO when compared with Intel running WebLogic One 2-socket Power S824 server with WAS

running equal virtualized Java-based applications as Four Oracle Sun X4-2 servers with WebLogic SE

Source: Capacity based on IBM Sizing of typical SPECjEnterprise2010 and 3rd party analysis of system utilization. This is an IBM sizing designed to replicate a typical IBM customer workload used in the marketplace. The results are calculated and not an actual customer environment. IBM's internal workload studies are not benchmark applications, nor are they based on any benchmark standard. As such, customer applications, differences in the stack deployed, and other systems variations or conditions may produce different results and may vary based on actual configuration, applications, specific queries and other variables in a production environment. Prices, where applicable, are based on published US list prices for both IBM and competitor.

Source: Capacity based on published SPECjEnterprise2010 and IBM estimates of system utilization. Pricing from www.Oracle.com

Presenter
Presentation Notes
How do the prices compare between Power Systems and x86 servers? To get an idea about that, look at this price comparison chart. The graph depicts the Total Cost of Acquisition – what it takes to buy a system and the software. In a scale-out cloud environment, cost is a very critical element in selecting systems. We compared a Power System 2-socket 24-core system to an Oracle Sun x4-2 with 2 sockets and 24 cores. The Power Systems s824 model (which we saw in the last chart) with software would cost 45% less than the Oracle Ivy Bridge systems with equivalent Oracle and VMware software. You CAN scale out affordably with Power Systems. Below that, you see the cost of ownership – what does it cost to run, manage and maintain these two systems? As you can see, it will cost more to run and maintain the competitive system. For these two systems running virtualized Java applications, the total savings in total cost of ownership is $123,158 less for the POWER8 system. With a lower cost of acquisition AND lower operating costs, it is clear Power Systems can be a good economic choice for scale out cloud. Let’s look at another example. ----- Configurations: Power S824 TCA/TCO is for two servers, 48 cores 2x better virtualized throughput vs. an Oracle T5-2 2S, 24 cores each POWER8, 3.5GHz PowerVM IBM WAS Oracle Sun X4-2 TCA/TCO is for five servers, 120 cores 5 Oracle servers needed for ~ equal Java throughput of 1 Power S824 2S, 24 cores each Ivy Bridge, 2.7GHz VMware vSphere Ent. Oracle Weblogic SE
Page 8: Superior Cloud Economics with Power Systems

Lower total hardware TCA vs.

Ivy Bridge w/ VMware

58%

Lower SW License Fees Reduced Management Costs

Reduced Floor Space

66% Fewer Systems & Cores

Better economics with POWER8 for lower cloud infrastructure costs

Thirty-four 2-socket Power S822L servers do the job of 100 2-socket Intel (HP DL380) servers running equal

virtualized capacity

.

$-

$2,000,000

$4,000,000

S822L/24c HP DL380p IvB (2s)

$1,307,776

$2,951,257

Total HW TCA

HW TCA

Source: Capacity based on IBM Sizing of typical SPECint_rate landscape and 3rd party analysis of system utilization. Pricing from www.hp.com.

This is an IBM sizing designed to replicate a typical IBM customer workload used in the marketplace. The results are calculated and not an actual customer environment. IBM's internal workload studies are not benchmark applications, nor are they based on any benchmark standard. As such, customer applications, differences in the stack deployed, and other systems variations or conditions may produce different results and may vary based on actual configuration, applications, specific queries and other variables in a production environment. Prices, where applicable, are based on published US list prices for both IBM and competitor.

Presenter
Presentation Notes
In this example, instead of comparing comparably equipped systems, we are comparing two systems running the equivalent set of workloads in virtualized environments and calculating, based on SPECint results, how well Power Systems does against x86. Using SPECint benchmark results, we figured the virtualized workload that an 100 HP DL380P systems could support, and then calculated how many Power Systems S822L systems, our Linux-only scale out system priced competitively with Intel, it would take to run the same workloads. In this case, it would take 34 Power S822L systems to perform the same amount of work as 100 HP systems. This resulted in a Total Cost of Acquisition being 58% lower than the Intel equivalent servers. And it was done with 66% fewer systems and cores. There are other examples of these economic advantages of Power, but it should be clear that Power Systems can provide an attractive alternative to Intel. ---------------- Configurations: Power S822L TCA/TCO is for 34 servers, �816 cores 3x better virtualized throughput vs. an HP 2 socket Ivy Bridge 2S, 24 cores each POWER8, 3.0GHz PowerVM HP DL 380 G8 TCA/TCO is for 100 servers, 2400 cores 100 HP servers needed for ~ equal virtualized throughput of 34 Power S822L 2S, 24 cores each Ivy Bridge, 2.7GHz VMware vSphere Ent
Page 9: Superior Cloud Economics with Power Systems

Handle the peaks and valleys of workload demands with dynamic resource sharing

POWER7+

Power 780 Power E880

Power E880

Power Enterprise Pools deliver: • Extreme flexibility, instant response

• High Availability

• Economic Efficiency

• Investment Protection

Presenter
Presentation Notes
Designed to eliminate planned and unplanned downtime for the most demanding workloads Shift resources to support planned maintenance Active – Active for efficient HA / DR Seamless transition to new technology �Easily manage the changing workload demands of today’s dynamic, real time business environment. Elastic Capacity on Demand Move virtual processor and memory resources to address new demands without physically reconfiguring the data center Leadership IT Efficiency�Combining the economic efficiency of Elastic Cloud pricing with systems designed for 80-90% utilization Usage and utility based pricing Minimize excess capacity required to manage availability �and contingency for dynamic business environments Ready for the Future �Seamlessly integrate next generation technology in your Power Enterprise Pool Inactive resources are used for processor and memory sparing Inactive resources can be used for free trials of new applications Inactive resources can be used with temporary activations for emergency backup
Page 10: Superior Cloud Economics with Power Systems

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. Intel

4X memory bandwidth vs. Intel

2.4X more I/O bandwidth than POWER7

Optimized performance: Big Data & Analytics

Optimized for a broad range of data and analytics:

Industry Solutions

5X Faster

Delivering insights 82x faster

Presenter
Presentation Notes
When systems are designed for big data, there are a couple of key attributes that are important to create a balanced system design. First having the processing capability, second having the memory space, the workspace, and the third is having the IO bandwidth, the ability to move the information in and out of the system at the rapid speeds required. We’re delivering 4 times more threads per core vs. commodity infrastructure. The processor can run more concurrent queries in parallel faster, across multiple cores with more threads per core. We’re delivering 4 times more memory bandwidth. Increased memory bandwidth to access up to 1 TB of memory for data operations and enlarged cache in every processor We’re delivering 2.4 times faster IO to ingest, move and access data These capabilities combine to offer some impressive results. For example, we’re delivering insights 82 times faster running Cognos BI reports and analytics on POWER8 with DB2 with BLU Acceleration versus commodity Intel with a traditional database
Page 11: Superior Cloud Economics with Power Systems

2.66x more performance per core than Intel E5-2697 v2 offerings3

2.66X 1.96x more performance per core

than Oracle T5-2 offerings5

1.96X

Optimized performance: Enterprise Java-based1

Can improve response time for business and end-user services

Fastest POWER8 processing cores2 are the fastest

in the industry for Java code

1 Performance based on published SPECjbb2013 results as of June 30, 2014 http://www.specbench.org/jbb2013/results/ 2 IBM Power Systems S824 (24 cores) 3 Intel E5-2697 v2 (24 cores) 4 Intel E7-4890 v2 (24 cores) 5 1 Oracle T5-2 (32 cores)

2.09x more performance per core than Intel E7-4890 v2 offerings4

Presenter
Presentation Notes
Power Systems provide innovation that optimizes Big Data & Analytics performance. When systems are designed for big data, there are a couple of key attributes that are important to create a balanced system design. First having the processing capability, second having the memory space, the workspace, and the third is having the bandwidth, the ability to move the information in and out of the system at the rapid speeds required. We’re delivering 4 times more threads per core vs. commodity infrastructure. The processor can run more concurrent queries in parallel faster, across multiple cores with more threads per core. We’re delivering 4 times more memory bandwidth. Increased memory bandwidth to access up to 1 TB of memory for data operations and enlarged cache in every processor We’re delivering faster IO to ingest, move and access data These capabilities combine to offer some impressive results. For example, we’re delivering insights 50 times faster running Cognos BI reports and analytics on POWER8 with DB2 with BLU Acceleration versus commodity x86 with a traditional database Power Systems provide the capabilities needed to handle the varying analytics initiatives your business requires. Broad range of data and analytics – from operational to computational to business analytics, as well as cognitive solutions leveraging IBM Watson technology, Power Systems are optimized for performance and can scale to support demanding and growing workloads. These solutions help you capitalize on the currency of data by finding business insights faster and more efficiently.
Page 12: Superior Cloud Economics with Power Systems

Security is built into all levels of Power Systems

Know that your virtualized environments are secure and compliant

Security

Power Systems

Hypervisor Firmware ensures only IBM-signed hypervisors can install and load

Hardware Built-in encryption

Operating System

Trusted execution: only known software can load and execute

Applications Define granular software policies to run across the entire data center

• Data and applications are protected by encryption and isolation

• Simplified compliance reporting and processes management

• In POWER8 systems, encryption can now be invoked via an instruction

• Zero common vulnerability incidences with PowerVM

Presenter
Presentation Notes
Power SC (Security and Compliance) is a security and compliance solution optimized for virtualized environments on Power Systems servers, running PowerVM and AIX Security and compliance are increasingly important. Power Systems have security built into their foundation. As we continue to move more workloads to virtualized environments and cloud, we need to find way of proving compliance but without it taking more and more time to do so. If there is an exposure you want to know now – not when you arrive at the DC in the morning. Audit compliance reporting is getting increasingly complex and time consuming, let alone just keeping up with the changing requirements or industry standards
Page 13: Superior Cloud Economics with Power Systems

IBM has a history of industry-leading collaboration on open technology

2007 1999 2007 2011 2011 2012 2013 2001 2013 2000

400+ software products

500 patents donated

600+ developers

15+ Years of Collaboration on

Open Source

Presenter
Presentation Notes
IBM invested $1Billion in the development of Linux at the turn of the millenium. We also joined others in founding what eventually became the Linux Foundation, which is effectively the steering body that manages the development of Linux and other open source projects. For the past 15 years, IBM has remained committed to supporting the development of the open source software that runs much of the internet today. An audited benchmark conducted by the Securities Technology Analysis Center (STAC), InfoSphere BigInsights for Hadoop was found to deliver a 300% performance gain over alternate systems – Arvind’s 4/28 launch webcast script
Page 14: Superior Cloud Economics with Power Systems

Power Systems cloud solutions deliver a short time to value

IBM Power Systems Solution Edition for Cloud

• Pre-built and pre-installed entry cloud solution

• Virtualization supporting AIX, Linux, and IBM i operating systems

• A range of system, storage and network options

Pre-built, pre-installed entry cloud solutions

IBM Power Systems Solution Edition for Scale-Out Cloud

• Open source Linux solution for flexibility and interoperability

• Familiar KVM virtualization and OpenStack management

• Combination of POWER8 performance plus economic advantages

Bundled with IBM Cloud Manager with OpenStack

Page 15: Superior Cloud Economics with Power Systems

Power Systems deliver simplified cloud management for public, private and hybrid cloud

• Provides an Open alternative to proprietary cloud stacks

• Protects clients current investment with simple path to new technology

• Open APIs provides great flexibility and agility

• Cloud provisioning and automation based on OpenStack – All IBM server architectures and major hypervisors now available to

choose from • Simplified implementation, lifecycle management, resource management,

self-service portal, monitoring & metering • Integrated platform management, backed by IBM Cloud Manager

enterprise-grade lab services and support

IBM Cloud Manager with OpenStack

Page 16: Superior Cloud Economics with Power Systems

IBM Cloud Manager with OpenStack for Power Systems A cornerstone for IBM Cloud solutions enabling clients to quickly build a cloud from the ground up

• Hybrid management on-premises or off-premises

• Choice of compute, storage & network options

• Open, extensible and customizable via REST with OpenStack APIs

• Process automation for deployments and expirations

• Simplified cloud administration with easy self-service UI

• Catalog of standardized virtual machines and images

• Metering and billing reports for charge and showback

• Isolation of users and projects through a common portal

• Dynamic resource management with IBM Platform Resource Scheduler

• Integrates with PowerVC

Presenter
Presentation Notes
IBM Cloud Manager with OpenStack is a robust cloud software offering that takes your virtualized environment from cloud-ready to cloud. Users can request and provision an environment quickly through an easy-to-use web-based interface, and works on existing or new IBM Power platforms, building upon IBM PowerVM virtualization with IBM Systems Director VMControl. Cloud Manager with OpenStack is also available for IBM BladeCenter, IBM PureFlex Systems, and IBM System x server platforms, building on VMware’s virtualization. Highlights: Cloud software stack with self-service portal delivering rapid time to value Simple to deploy, easy to use with existing infrastructure Optimizes data center with increased automation, structured security, comprehensive management, administrative controls and resource sharing Offers meeting tools to develop usage and billing models to track ROI, with open and extensible interfaces. If you are already using PowerVM or VMware, you have already taken the first steps towards starting your journey to cloud. This journey can be accelerated with Cloud Manager with OpenStack by easily enabling a private cloud environment, achieve standardization and slash times from several days or hours to minutes in deploying new applications. Once an application is captured as a virtual appliance, the deployment from Cloud Manager with OpenStack can be as simple as 4 clicks! Lets look at some real examples of how standardization and time to value improvements were achieved using Cloud Manager with OpenStack. Source: Cloud powers business innovation Feb’12: http://www.ibm.com/cloud-computing/us/en/assets/power-of-cloud-for-bus-model-innovation.pdf Blue skies for your cloud with IBM XIV Oct’11: http://public.dhe.ibm.com/common/ssi/ecm/en/tsw03110usen/TSW03110USEN.PDF Clipper Group: http://public.dhe.ibm.com/common/ssi/ecm/en/bll03039usen/BLL03039USEN.PDF
Page 17: Superior Cloud Economics with Power Systems

• Linux based virtualization for scale-out POWER8 servers running Linux • Higher VM and workload consolidation - processor and memory sharing and over

commitment • Supports Redhat, SUSE, Ubuntu Linux guests

• Improves service levels - Virtualized resources can be applied dynamically to workloads as needed

• Minimizes risk - Unrivaled flexibility enables rapid response to business change

• Supports AIX, IBM i, and Linux guests

• Improve resource utilization to reduce capital expense and power consumption • Increase IT productivity and responsiveness • Manage scalability without adding complexity

Page 18: Superior Cloud Economics with Power Systems

New: simplified virtualization & hybrid cloud management

Power Systems deliver simplified cloud management with OpenStack for public, private and hybrid cloud

Handle the peaks and valleys of workload demands with dynamic resource sharing

Risk reduction by using templates for repeatable deployment of workloads

Manage a wider range of systems, storage, networking devices and Linux versions

Page 19: Superior Cloud Economics with Power Systems

New: Hybrid cloud management and simplified virtualization

Run any combination of Linux distros via Mixed Endian VM support on a single PowerKVM host Improve performance

using PCI passthru for dedicated I/O Better availability through

PCIe hot plug support

Simplified virtual IO administration Risk reduction by

using templates for repeatable deployment of workloads VM restart accelerates

workload recovery

Expanded device and OS support Import existing KVM VMs Simplified maintenance

with one click system evacuation Increase scaling by 100%

to 20 hosts; 2000 VMs

OpenStack multi-region management for hybrid Support for latest OpenStack release (Juno core) Integration with new PowerVC functions

Cloud Manager with OpenStack

Presenter
Presentation Notes
Cloud Manager with OpenStack v4.2 Hybrid (OpenStack multi-region management) Best practices for creating secure connection for on premise to off premise clouds Ability to configure and connect to Cloud Manager-based off-premise cloud as a region Placement and optimization policies for both on premise and off premise clouds** Service Management Connect Client Interaction Support up to 20 participants in ‘Inner Circle’ Support for all “core” packages in OpenStack Juno release Database (Trove) Data Processing Hadoop (Sahara) Queue service (Marconi)* Bare metal (Ironic)* Take advantage of new PowerVC functions Provisioning of IBM i workloads Additional storage support (vSCSI, XIV, CISCO SAN, EMC) New networking capabilities for PowerVC (vNIC, IP Pools) Host Maintenance mode Support cloud_init metadata fields in deploy UI Support multiple storage connectivity groups in deploy UI Support multiple storage templates in boot volume deploy UI Note: ** Not applicable to PowerVM, PowerKVM only
Page 20: Superior Cloud Economics with Power Systems

Optimized Economics on Power Systems for Service Providers

MSP Utility Billing (PAYG PLUS) Pilot Program: • MSPs purchase Power Systems infrastructure with no upfront cost • Pay-for-use billing using operational expense as they grow their services

business

IBM i Entitlement Relocation for MSPs • Move IBM i core entitlements from customer to Service Provider system

IGF Leasing • Finance entire purchase for predictable lease amounts • Finance Up-Front MSP Utility payment for a rental-like model • Current offers include 12 month 0% loans for IBM Servers, Storage &

Software • Clear the floor of legacy equipment with buyback program

Page 21: Superior Cloud Economics with Power Systems

Performance for China Telecom means implementing a private cloud to deliver services faster at lower cost • Operating in a highly competitive

market, China Telecom needed to reduce time to market for new products and services to seize greater market share. High floor space and energy costs were restricting growth.

• Implemented new Power servers, PowerVM & Systems Director VMControl to create a private cloud and to manage virtual system pools Radically simplified management Dramatically improved hardware

utilization rates Cut hardware costs by over 50% Reduced energy consumption and

CO2 emissions 25% - 50% reduction in annual

overall IT costs

China Telecom implements Power Systems for improved utilization and hardware cost reduction of over 50%. They slashed time to market for new applications from 3-4 months to 2-3 days. — CHINA TELECOM

China Telecom Corporation Case Study, Video

Page 22: Superior Cloud Economics with Power Systems

Learn more about Cloud and IBM Power Systems

www.ibm.com/systems/cloud/

Open innovation to put data to work

across the enterprise

Call your IBM representative and visit a local briefing center

Contact your IBM Business Partner and tap into IBM’s ecosystem resources

Learn more about Cloud at www.ibm.com/systems/cloud/

Learn more about IBM Power Systems at www.ibm.com/Power

Page 23: Superior Cloud Economics with Power Systems

23

Power Systems: Optimized to deliver scale-out economics and security for the cloud

Performance

and Agility

Economic

Advantages

Security

Built on open standards

Presenter
Presentation Notes
There are certain system requirements needed to deliver on the promises of cloud computing.
Page 24: Superior Cloud Economics with Power Systems
Page 25: Superior Cloud Economics with Power Systems

This document was developed for IBM offerings in the United States as of the date of publication. IBM may not make these offerings available in other countries, and the information is subject to change without notice. Consult your local IBM business contact for information on the IBM offerings available in your area. Information in this document concerning non-IBM products was obtained from the suppliers of these products or other public sources. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM may have patents or pending patent applications covering subject matter in this document. The furnishing of this document does not give you any license to these patents. Send license inquires, in writing, to IBM Director of Licensing, IBM Corporation, New Castle Drive, Armonk, NY 10504-1785 USA. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. The information contained in this document has not been submitted to any formal IBM test and is provided "AS IS" with no warranties or guarantees either expressed or implied. All examples cited or described in this document are presented as illustrations of the manner in which some IBM products can be used and the results that may be achieved. Actual environmental costs and performance characteristics will vary depending on individual client configurations and conditions. IBM Global Financing offerings are provided through IBM Credit Corporation in the United States and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates are based on a client's credit rating, financing terms, offering type, equipment type and options, and may vary by country. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice. IBM is not responsible for printing errors in this document that result in pricing or information inaccuracies. All prices shown are IBM's United States suggested list prices and are subject to change without notice; reseller prices may vary. IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply. Any performance data contained in this document was determined in a controlled environment. Actual results may vary significantly and are dependent on many factors including system hardware configuration and software design and configuration. Some measurements quoted in this document may have been made on development-level systems. There is no guarantee these measurements will be the same on generally-available systems. Some measurements quoted in this document may have been estimated through extrapolation. Users of this document should verify the applicable data for their specific environment.

Special notices

Page 26: Superior Cloud Economics with Power Systems

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Special notices (cont.)