1. © 2014 IBM Corporation
IBM Power Systems:
Open innovation to put data to work
Barbara Koch
Vice President Power Systems
06. Mai 2014

2. © 2014 IBM Corporation
What if you had the innovation to…
2
Deliver
insights
Support
mobile big
data apps
with
Experience
IBM Watson™
technology
Achieve more
than twice the
throughput at
1
2 32

3. © 2014 IBM Corporation
The Power Systems Strategy
3
Leadership and innovation to support today’s core business applications and next-generation solutions
with strong financial benefits, industry leading support and a highly skilled and vibrant ecosystem
Next Gen Apps
Big Data &
Analytics
Power Charter
Open Platform
for Choice OpenPOWER
Consortium
Innovatio
n that
Matters
Client ValueCommunity
Engagemen
t

4. © 2014 IBM Corporation
POWER8 delivers insights 82x faster
Running Cognos BI reports and analytics on POWER8 with DB2 with BLU
Acceleration versus Ivy Bridge with a traditional database
4
• DB2 with BLU Acceleration on POWER8 for Cognos BI is ‘Fast on
Fast on Fast!’
• Real world Cognos BI Telco workload
• 60 concurrent users running 70%/25%/5% split of simple,
intermediate and complex reports
• First processer designed for Big Data with massive parallelism
and bandwidth for real-time results
• 18x more throughput for simple reports
• 40x more throughput for intermediate reports
• 747x better throughput for complex reports
• Additional information available in The Edison Group paper at
https://www.ibm.com/services/forms/signup.do?source=stg-web&S_PKG=ov23147
Dynamic
Query
Compatible
Query
Dynamic
Cubes
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.

5. © 2014 IBM Corporation
Creating a pipeline of ecosystem innovation with the
OpenPOWER Foundation
5 5
Creating a
pipeline of
ecosystem
innovation
Creates an open ecosystem
based on the IBM
POWER® architecture
Enables industry innovation
across the software and
hardware stack
Provides flexibility to build
servers ideally suited to the
Power architecture
Platinum Members
5
members and
growing

6. © 2014 IBM Corporation
OpenPOWER: Growing Fast!
6
Boards/Systems
I/O, Storage, Acceleration
Chip/SOC
System/Software/Services
100+ inquiries and active dialogues underway

7. © 2014 IBM Corporation
7
Google Shows Off
Hardware Design
Using IBM Chips

8. © 2014 IBM Corporation
Fostering open innovation for cloud based applications
with Linux and Power Systems
8
Estimated >95% x86/Linux
applications written in C/C++
will require no source code
change, only a recompile
Moving Linux apps to Power has never been easier
Well-written Java applications
written in scripting or interpretive
languages will run as is
>95%
Require no source code change
+

9. © 2014 IBM Corporation
9
Designed for
Big Data
Superior Cloud
Economics
Open Innovation
Platform
Open Innovation to
put data to work
Introducing…A NEW GENERATION OF IBM Power Systems

10. © 2014 IBM Corporation
10
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
4X
memory bandwidth vs. x86
2.4X
more I/O bandwidth than POWER7
Optimized for a broad range of data and analytics:
Industry Solutions
5X
Faster
Designed for Big Data: optimized Big Data & Analytics
performance

11. © 2014 IBM Corporation
11
POWER5
2004
POWER6
2007
POWER7
2010
POWER7+
2012
130nm SOI 65nm SOI 45nm SOI
eDRAM
32nm SOI
eDRAM
2
SMT2
2
SMT2
8
SMT4
8
SMT4
1.9MB
36MB
8MB
32MB
2 + 32MB
None
2 + 80MB
None
15GB/s
3GB/s
30GB/s
10GB/s
100GB/s
20GB/s
100GB/s
20GB/s
Technology
Compute
Cores
Threads
Caching
On-chip
Off-chip
Bandwidth
Sust. Mem.
Peak I/O
POWER8
22nm SOI
eDRAM
12
SMT8
6 + 96MB
128MB
230GB/s
48GB/s
IBM Confidential

12. © 2014 IBM Corporation
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
Core
L2
L3 Cache & Chip Interconnect
8M L3
Region
Mem. Ctrl.Mem. Ctrl.
SMPLinks
Accelerators
SMPLinks
PCIe
POWER8 Highlights

13. © 2014 IBM Corporation
13
12 Cores per Socket
Significantly Strengthened Cores
8 threads per core (SMT8)
Wider fetch/dispatch/issue of instructions
Doubled highly utilized execution units
Larger Caches
2 integrated memory controllers
~ 25% memory latency improvement via on-chip fastpath interconnect
Integrated SMP Interconnect w/ improved “Flatness”
2-Hop fabric topology
Integrated IO Subsystem
On-chip PCIe controller
Fine Grained Power Management
On-chip Power Management Controller & Power gating
POWER8 Highlights

14. © 2014 IBM Corporation
POWER8 Processor: Game-changing innovation that
accelerates big data & analytics
14
 Smart, simplified attach for accelerators:
GPUs, flash memory, networking
 Connects directly to processor, sharing the
same address space
 Improves performance, reduces latency, and
provides more workload for your dollar
Smart Acceleration enabled by CAPI (Coherent
Accelerator Processor Interface) Technology
CAPI enables innovation from the OpenPOWER Foundation

15. © 2014 IBM Corporation
Coherent Accelerator Processor Interface (CAPI) Overview
15
CAPP PCIe
POWER8 Processor
FPGA
Functionn
Function0
Function1
Function2
CAPI
IBM Supplied POWER
Service Layer
Typical I/O Model Flow
Flow with a Coherent Model
Shared Mem.
Notify Accelerator
Acceleration
Shared Memory
Completion
DD Call
Copy or Pin
Source Data
MMIO Notify
Accelerator
Acceleration
Poll / Int
Completion
Copy or Unpin
Result Data
Ret. From DD
Completion
Advantages of Coherent Attachment Over I/O Attachment
• Virtual Addressing & Data Caching
– Shared Memory
– Lower latency for highly
referenced data
• Easier, Natural Programming Model
– Traditional thread level
programming
– Long latency of I/O typically
requires restructuring of
application
• Enables Apps Not Possible on I/O
– Pointer chasing, etc…

16. © 2014 IBM Corporation
Power Systems: Open innovation to put data to work
16
Power Systems
S822LPower Systems
S812L
Power Systems
S822
Power Systems
S814
Power Systems
S824
Power Systems
S824L
•1-socket, 2U
•POWER8 processor
•Linux only
•CAPI support (1)
•2H14
•2-socket, 2U
•POWER8 processor
•Up to 24 cores
•1 TB memory
•9 PCI Gen3 slot
•Linux only
•CAPI support (2)
•PowerVM & PowerKVM
•2-socket, 2U
•Up to 20 cores
•1 TB memory
•9 PCIe Gen 3
•AIX & Linux
•CAPI support (2)
•PowerVM
•1-socket, 4U
•Up to 8 cores
•512 GB memory
•7 PCIe Gen 3
•AIX, IBM i, Linux
•CAPI support (1)
•PowerVM
•2-socket, 4U
•Up to 24 cores
•1 TB memory
•11 PCIe Gen 3
•AIX, IBM i, Linux
•CAPI support (2)
•PowerVM
•2-socket, 4U
•Up to 24 cores
•Linux
•NVIDIA GPU
•2H14
+ POWER8 roll-out is leading with scale-out (1-2S) systems
+ Expanded Linux focus: Ubuntu, KVM, and Open Stack
+ Scale-up POWER8 (>2S) systems will be rolled ot over time
+ PCI Gen3 right out of POWER8 processor
+ OpenPOWER Innovations

17. © 2014 IBM Corporation
New Power Systems Scale-out servers deliver superior
economics & security for the cloud
17
Speed & Agility
to capture value from new
workloads
Economic Advantages
that scale to meet business
needs
Security
to protect critical systems and data
2X
performance vs x861
Built-in
Encrypt / decrypt engine
Price for performance advantages to scale out as your business
grows and confidently move more data applications to the cloud
Utilization outperforming industry standards
65% Guaranteed
vs. industry
average
of 30–40%
58%
Lower costs of
acquisition2

18. © 2014 IBM Corporation
Power Systems have capabilities to scale out or scale up
18
Scale out or scale up
with Power Systems
Power Scale-Out
Systems
Power Enterprise
Systems
Two-Step Process to upgrade to POWER8
Power Enterprise
Pools Migration
System
Upgrade
Purchase additional IBM POWER7+ capacity today and transition to POWER8 tomorrow
Take advantage of these capabilities today
 Power Enterprise Pools
 Power Integrated Facility for Linux
 Capacity on Demand
Power Enterprise Systems
Heritage of high utilization, performance and scalability
Designed for the most mission-critical applications
Delivering economic benefits for workload consolidation
Statement of Direction for POWER8

19. © 2014 IBM Corporation
Bringing together industry leading capabilities for the best, enterprise-
class infrastructure with virtualization and cloud technology
19
Introducing Power Enterprise Pools for deploying the most flexible and
efficient Enterprise Private Cloud
Enterprise-class systems:
leadership performance,
resilience &
resource sharing
Enterprise-class
Virtualization &
Cloud Mgmt
Flexible, efficient workload
deployment with
Elastic COD & Power IFLs
Power Enterprise Pool
with Mobile COD delivers
unprecedented flexibility

20. © 2014 IBM Corporation
Power Enterprise Pools with Mobile and Elastic COD
delivers both flexibility and economic efficiency
20
64c
Active
64c
Active
64
Inactive
64
Inactive
64c
Active
System
being
Maintained
64c
Active
64c
Active
64
Inactive
64
Inactive
Activate
64c for
Maint.
Active - Active Planned Maintenance Resource Balancing
64c
Active
32
Inactive
32c
Active
32c
Active
96
Inactive
Periodic Demand Peaks
Multi-system infrastructure providing a highly available and flexible IT
environment to support clients’ most demanding business resiliency
objectives
Clients purchase the capacity needed and may allocate & rebalance
virtual processor and memory resources within the capacity pool
Elastic On/Off Processor and memory enables clients to address
periodic spikes in demand
Live Partition Mobility enables clients to migrate running workloads
between systems to enable continuous availability

21. © 2014 IBM Corporation
Power Integrated Facility for Linux (IFL): Deploy Linux solutions
quickly at lower cost and with enterprise class reliability and security.
21
Deploy enterprise-class, secure
private cloud for Linux consolidation
for Applications and Databases
Streamlined, secure access
to data and applications
Infrastructure services that
have high QOS needs
Simplify Operations by aligning
policy groups to the business
process
Private
Cloud
Co-Location
Quality of
Service
Simplified
Operations
Policy Group1 Policy Group 2
Power
IFL
 Messaging
 ESB
 Security Services
 File Services
Virtualized
Linux system

22. © 2014 IBM Corporation
POWER8 Enterprise Systems - Statements of Direction
22
IBM plans to…
•… bring POWER8 capability to the full Power Systems
portfolio, with the intent to deliver the most scalable,
highest performing enterprise-class Power System with
an advanced version of the POWER8 processor.
•… to provide upgrade paths from the current POWER7+
Power 770 and 780 servers to enterprise-class
POWER8 processor-based servers.
•… preserve client investment in Power Systems by
enabling POWER8 processor-based Power systems to
interoperate and share Mobile Capacity on Demand
(COD) resources with POWER7/7+ processor-based
Power systems in a single Power Enterprise Pool
POWER8
Enterprise Systems
• Architectural strengths
of Power 795
• Modularity & efficiencies
of Power 770/780
• Performance and
innovation of POWER8
• Greater Scalability &
Reliability
• Increased Efficiency
(Space, Energy)

23. © 2014 IBM Corporation23
Leverage POWER6 / POWER7 Compatibility Modes
LPAR Migrate between POWER6 / POWER7 / POWER8 Servers
Can not move POWER8 Mode partitions to POWER6 or POWER7 systems.
AIX 7.1
AIX 6.1
AIX 5.3
POWER7POWER6/6+
AIX 7.1
AIX 6.1
AIX 5.3
AIX 7.1
AIX 6.1
AIX 5.3
AIX 7.1
AIX 6.1
POWER8
AIX 7.1
AIX 6.1
AIX 7.1
AIX 6.1
AIX 7.1
AIX 6.1
AIX 5.3 IBM i 7.2 IBM i 7.2
Linux Linux Linux LinuxLinux
POWER6 / POWER7 / POWER8 Partition Mobility

24. © 2014 IBM Corporation24
Open innovation to put data to work
24

25. © 2014 IBM Corporation
This new era is reshaping the IT landscape and creating new
market dynamics
25
Mobile
Internet of Things
Cloud
40% of people
socialize more online
than they do face-to-
face
300x growth
of digital content
between 2005-2020
57% of
companies
using cloud to drive
competitive and cost
advantages
80% of all data
is unstructured and growing 15x
the rate of structured data
63% of people
expect to be doing more shopping on
their mobile devices over the next couple
of years

26. © 2014 IBM Corporation
Bringing the broad Linux ecosystem to Linux on Power
26
Simple migration of ALL Linux Workloads to Power Systems
NO CHANGES
For most well written x86/Linux
applications written in scripting or
interpretive languages
Leveraging Open Collaboration Across the Stack
Software Defined
Environment
Expanding the Ecosystem
SIMPLE RECOMPILE
For an estimated >95% x86/Linux
applications written in C/C++

27. © 2014 IBM Corporation
27
2004 2007 2010 2014
POWER7/7+
45/32 nm
POWER8
Eight Cores
On-Chip eDRAM
Power-Optimized Cores
Memory Subsystem ++
SMT++
Reliability +
VSM & VSX
Protection Keys+
POWER6/6+
65/65 nm
Dual Core
High Frequencies
Virtualization +
Memory Subsystem +
Altivec
Instruction Retry
Dynamic Energy Mgmt
SMT +
Protection Keys
POWER5/5+
130/90 nm
Dual Core
Enhanced Scaling
SMT
Distributed Switch +
Core Parallelism +
FP Performance +
Memory Bandwidth +
Virtualization
More Cores
SMT+++
Reliability ++
FPGA Support
Transactional Memory
PCIe Acceleration
 200+ systems in test
POWER9
Extreme Analytics
Optimization
Extreme Big Data
Optimization
On-chip accelerators
Power Processor Technology Roadmap

28. © 2014 IBM Corporation
28
Delivering value UNIX, Linux and IBM i
environments
• For small-to-midsize DB and analytics applications
• ERP and other Core business applications
• Consolidation and virtualization of UNIX, IBM i and x86 Linux workloads
• PowerVM: the industries highest performing, most secure
and scalable virtualization technology
• OpenStack-based Cloud Management
* SOD for future support
POWER8 Systems
Power S822
Power S824
1 or 2 sockets
6, 8, 10 or 12 cores/socket
Up to 1 TB of Memory
Power S814
Built on open technology with innovation to put data to work
Designed for Data
•Over 2X the performance / core vs. x86 in target workloads
•Industry’s largest Cache and Memory and I/O Bandwidth
•Greater capacity for demanding data / analytic applications
•Industry leading RAS (Built-in RAID, Hot Plug PCIe Gen 3)
Enhanced for superior cloud economics and efficiency
•Guaranteed utilization, Cloud/Virtualization mgmt built on OpenStack
•Designed to increase efficiency and flexibility to run the most demanding workloads in the cloud
with greater resiliency
(e.g., High performance, split backplane; SR-IOV capable I/O*)
Enabling open innovation
•Extendable with CAPI (Coherent Application Processor Interface)*
Power Scale out Systems with choice of
UNIX, Linux and IBM i

29. © 2014 IBM Corporation
29
POWER7
I/O
Bridge
GX
Bus
PCIe G2
PCI
Device
PCIe G3
PCI
Device
Native PCIe Gen 3 Support
• Direct processor integration
• Replaces proprietary GX/Bridge
• Low latency
• Gen3 x16 bandwidth (16 Gb/s)
POWER8
IBM Confidential
POWER8 Integrated PCI Gen 3

30. © 2014 IBM Corporation
30
 Attach TMS Flash to POWER8 via CAPI coherent Attach
 Issues Read/Write Commands from applications to eliminate 97% of code pathlength
 Saves 20-30 Cores per 1M IOPs
Pin buffers,
Translate,
Map DMA,
Start I/O
Application
LVM
Disk & Adapter DD
Read/Write
Syscall
strategy() iodone(
)
FileSystem
strategy() iodone()
Interrupt,
unmap,
unpin,Iodone
scheduling
< 500
Instructions
Application
Posix Async
I/O Style API
User Library
Shared
Memory
Work Queue
aio_read()
aio_write()
20K
Instructions
CAPI Attached Flash Optimization

31. © 2014 IBM Corporation
31
This is an IBM internal study designed to replicate a typical IBM customer workload usage in the marketplace. The results were obtained under laboratory conditions, and not in 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 testing 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, and the cost calculation compares the cost per request for the 3yr life of the machine. 3 year total cost of
acquisition comparisons are based on similar expected hardware, software, service & support offerings
183,800 User Interactions
per second
WebSphere on platform
Database off platform
$3.09 per UI per sec
DB2
Power S824
AIX
WAS
2S/24 Core POWER8 (3.525 GHz)
PowerVM
HP - ProLiant DL380p Gen8
6 VMs
DB2
2S/24 Core Ivy Bridge-EP (2.7 GHz)
85,939
WebSphere on platform
Database off platform
$5.84VMware ESXi
User Interactions
per second
per UI per sec
8 VMs
RHEL
WAS
AIX
WAS
AIX
WAS
AIX
WAS
RHEL
WAS
RHEL
WAS
RHEL
WAS
AIX
…..
…..
2.1x
Faster
47%
Lower cost
per UI per sec
Web Application
Online Banking Workload v3.6
Both Servers configured to achieve maximum throughput
NO trade-offs: 2x Throughput at Half the Cost of x86
POWER8 Delivers Over TWICE the Throughput Relative to Ivy Bridge-EP at 47% Lower Cost
for an Online Banking Workload

32. © 2014 IBM Corporation32
Over 2x better, 24 core performance than nearest x86 competitive results
Up to 2x greater performance than previous POWER generation
Exploiting more cores, more threads and L3 cache than past POWER platforms
2x
(1.0) IBM Power System S824 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 4 processors / 24 cores / 96 threads, POWER8; 3.52GHz, 512 GB memory, 21,212 SD benchmark users, running AIX® 7.1 and DB2® 10.5,
dialog response: 0.98 seconds, line items/hour: 2,317,330, dialog steps/hour: 6.952,000 SAPS: 115,870 database response time (dialog/update): 0.011 sec / 0.019sec, CPU utilization: 99%, Certification #: * Results valid as of 3/24/14. * Certification # 2014016. Source: http://www.sap.com/benchmark.
(1.1) Fujitsu RX300 S8 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors / 24 cores / 48 threads. Intel Xeon E5-2697 processor 2.70 GHz, 256 GB memory, 10.240 SD benchmark users, running Windows Server
2012 SE and SQL Server 2012, Certification #: 2013024
(1.2) Cisco UCS c240 M3 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors / 24c ores / 48 threads. Intel Xeon E5-2697 processor 2.70 GHz, 256 GB memory, 10.045 SD benchmark users, running Windows
Server 2012 DE and SQL Server 2012, Certification #: 2013038
(1.3) HP ProLiant BL460c Gen8 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors / 24 cores / 48 threads. Intel Xeon E5-2697 processor 2.70 GHz, 256 GB memory, 10.025 SD benchmark users, running Windows
Server 2012 DE and SQL Server 2012, Certification #: 2013025
(2.1 IBM Flex System p270 Compute Node on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 4 processors / 24 cores / 96 threads, POWER7+; 3.4GHz, 256 GB memory, 12.528 SD benchmark users, running AIX® 7.1 and
DB2® 10 .5 Certification #: 3012019 Source: http://www.sap.com/benchmark.
(1.1)IBM Flex System p260 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors / 16 cores / 64 threads, POWER7+; 4.1GHz, 256 GB memory, 10,000 SD benchmark users, running AIX® 7.1 and DB2® 10,
Certification #: 2012035
Transaction Processing Workload – SAP S&D 2-tier ERP 6
IBM Power System S824 with DB2 10.5 vs.. Competition

33. © 2014 IBM Corporation
33
 POWER8 S822L will deliver over 2x the
performance of the best published x86 system
… and continues to offer far superior RAS
 POWER8 exploits additional cores, more
threads, larger caches, memory bandwidth
 Terasort is a popular benchmark to measure the
performance of a Hadoop solution
 Sorts a large dataset (10 TB) in parallel
 Exercises the Map-reduced framework and
Hadoop Distributed File System (HDFS)
IBM Analytics Stack: IBM Power System S822L; 24 cores / 192 threads, POWER8; 3.0GHz, 512 GB memory, RHEL 6.5, InfoSphere BigInsights 3.0
http://www.cisco.com/en/US/solutions/collateral/ns340/ns517/ns224/ns944/le_tera.pdf
2x
POWER8 delivers 2x performance on Big Data / Hadoop
Terasort benchmark on a POWER8 doubles the system capacity of the best x86 published
result

34. © 2014 IBM Corporation
34
System Performance Utilization Guarantee
When a Client acquires a POWER8 one or two-socket server and the Client runs eligible workloads,
IBM guarantees the system will perform as warranted with a System Utilization Rate of up to 65%.
Should the Client not be able to achieve 65% system utilization rate, assuming there is sufficient
work to drive the machine to 65% utilization, IBM will assist with the attainment of 65% system
utilization rate, at no additional cost.
System Performance Utilization
IBM has designed these POWER8 systems to
operate at industry-leading levels of efficiency,
guaranteeing the system will perform as
warranted while at a sustained 65% utilization -- a
rate higher than common competitive platform
utilization levels
The IBM POWER8 one or two-socket server (the “POWER8 Server”) must be purchased from IBM or an authorized IBM Business Partner prior to December 31, 2014, provided that the combined transaction price (not including taxes and fees) of the
POWER8 Server purchased with other IBM hardware, IBM software, IBM maintenance, and IBM services must be US $150,000 or greater. Eligible workloads are AIX, Linux, or IBM i workloads, or any combination of the three, on PowerVM. Guarantee
Period - ninety (90) calendar days following the Date of Installation of the Eligible Machine. System Performance Guarantee Requirements - Client implements each of the requirements set forth in the “POWER8 Performance Guarantee Requirements.
Common x86 utilization levels assessed by 3rd party analysis.
POWER8 Performance Utilization Guarantee

35. © 2014 IBM Corporation
35
Source: Capacity based on IBM Sizing of typical SPECint_rate landscape and 3rd party analysis of system utilization.
Current Configuration
 100 2-socket x86
servers
 Xeon X5690 processor
 12 cores per server, 2
threads per core
 3.46 GHz
 1200 total cores
Ivy Bridge Configuration
 69 2-socket x86 servers
 Xeon E5-2697 v2 processor
 24 cores per server, 2
threads per core
 2.8 GHz
 1656 total cores
1.5X
increased
throughput
Per-core SW Costs INCREASE
34%!!!
Current x86
Platform
(circa 2011)
POWER8 DELIVERS EQUAL CAPACITY with
1/3 of the Servers (LOWER MANAGEMENT COSTS)
1/3 of the Cores (LOWER SW COSTS)
1/3 of the Space (LOWER INFRASTRUCTURE COSTS)
ALL for <50% of the x86 HW TCA
POWER8
Platform
(2014)
New x86
Platform
(2014)
Per-core SW Costs DECREASE up to
54%!!!
Power S822L Configuration
 23 2-socket POWER8 servers
 POWER8 processor
 24 cores per server, 8
threads per core
 3.0 GHz
 552 total cores
Intel: Reduce HW infrastructure in a virtualized environment but increase per-core SW costs…
POWER8: Reduce HW infrastructure EVEN MORE and REDUCE per-core SW costs up to 54%

36. © 2014 IBM Corporation
36
Source: Capacity based on IBM Sizing of typical SPECint_rate landscape and 3rd party analysis of system utilization.
Current Configuration
 100 2-socket x86
servers
 Xeon X5690 processor
 12 cores per server, 2
threads per core
 3.46 GHz
 1200 total cores
Ivy Bridge Configuration
 69 2-socket x86 servers
 Xeon E5-2697 v2 processor
 24 cores per server, 2
threads per core
 2.8 GHz
 1656 total cores
1.5X
increased
throughput
Per-core SW Costs INCREASE
34%!!!
Current x86
Platform
(circa 2011)
POWER8 DELIVERS EQUAL CAPACITY with
1/3 of the Servers (LOWER MANAGEMENT COSTS)
1/3 of the Cores (LOWER SW COSTS)
1/3 of the Space (LOWER INFRASTRUCTURE COSTS)
ALL for <50% of the x86 HW TCA
POWER8
Platform
(2014)
New x86
Platform
(2014)
Per-core SW Costs DECREASE up to
54%!!!
Power S822L Configuration
 23 2-socket POWER8 servers
 POWER8 processor
 24 cores per server, 8
threads per core
 3.0 GHz
 552 total cores
Intel: Reduce HW infrastructure in a non-virtualized environment but increase per-core SW costs…
POWER8: Reduce HW infrastructure EVEN MORE and REDUCE per-core SW costs up to 74%

37. © 2014 IBM Corporation
Power Integrated Facility for Linux
37
Flexible, affordable, high-performance capacity for Linux applications
• Simplify operations and reduce complexity by
co-locating applications on a more scalable
and reliable server
• Streamline access to data and applications via
secure, high-performance virtual networking
• Grow seamlessly and accelerate deployment
of new applications and services
• Share bandwidth and instantly adjust system
resources to maximize utilization and lower
cost
• Reduce overhead by leveraging existing
production and disaster recovery infrastructure
Power IFL
Virtual stack consisting of :
4 x CUoD core activations
32 GB CUoD memory activations
4 x PowerVM for PowerLinux license
entitlement
Scales in increments of 4 cores
Available on Power 770, 780 & 795

38. © 2014 IBM Corporation
38
WWW
10Gb Uplink
POWER8 Server
Flash Array w/ up
to 40TB
Differentiated NoSQL
(POWER8 + CAPI Flash)
Infrastructure Attributes
- 192 threads in 4U Server drawer
- 40 TB of memory based Flash per 4U Drawer
- Shared Memory & Cache for dynamic tuning
- Elimination of I/O and Network Overhead
- Cluster solution in a box
5X Cost Reduction with
equivalent performance
WWW
500GB
Cache Node500GB
Cache Node500GB
Cache Node500GB
Cache Node500GB
Cache Node500GB
Cache Node
Backup Node
Load Balancer
Today’s NoSQL
in memory (x86) 10Gb Uplink
Infrastructure Requirements
- Large Distributed (Scale out)
- Large Memory per node
- Networking Bandwidth Needs
- Load Balancing
Power CAPI-attached Flash model for NoSQL offers dramatic (24:1) density advantage
Differentiation of NoSQL’s on POWER8 w/CAPI: 5X cost
reduction