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Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 1.

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1 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 1

2 Why Oracle Software Runs Best on Oracle Hardware Yufei Zhu, Manager PAE Lily Zhao, Senior Engineer

3 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 3 Program Agenda  Oracle Software Performance and SPARC T5  Oracle Engineered System’s Approach  Technology Areas Covered  Conclusions

4 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 4 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

5 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 5 Oracle Software Performance and SPARC T5

6 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 6 T5-8 TPC-C Benchmark: OLTP DB Leadership World record single-system TPC-C 8,552,523 tpmC SPARC T5-8 delivers 3.1M IOPs from storage SPARC T5 2.4x faster per chip performance than IBM configuration 3-node IBM p780 (24 total chips at 10.3M), Oracle has 2.5x better $/tpmC SPARC T5 5x better response time than IBM p780 cluster (New Order 90%) World Record OLTP single-system performance See benchmark disclosure slide

7 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 7 T5-8 SPECjEnterprise: Enterprise Java Leadership  SPARC T5-8 application & T5-8 database achieved 57,422.17 EjOPs – T5-8 12.7x better App Tier $/perf: Power 780 = $992k, T5-8 = $269k – T5-8 3.4x faster than 8-chip IBM Power 780, 1.7x faster per core than Power7  SPARC T5-8 2.1x faster than 8-chip x86 Xeon E7-8870  SPARC T5-8 DB server only 40% utilized, headroom to spare World Record performance SPECjEnterprise2010 See benchmark disclosure slide

8 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 8 T5-8 SPECjEnterprise: Enterprise Java Leadership  SPARC T5-8 virtualized at 27,843.57 EjOPs – SPARC T5 is 2.6x faster than IBM’s Power7+  Oracle’s price/performance advantage – SPARC T5-8 7.1x better server $/perf  Power 780 = $835k, T5-8 = $297k – SPARC T5-8 3.6x better HW+SW $/perf than 780  Also beats PowerLinux 7R2 $/perf (2x 2-chips) Disproves that per-core performance reduces cost World Record virtualized (1 server: 1VM for App & 1VM for DB) See benchmark disclosure slide

9 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 9 SPARC T5-2 SPECjbb2013 Multi-JVM  SPARC T5 1.9x faster than HP E5-2690  SPARC T5 2.23x faster than HP E7-4870  IBM Power7+ only publishes SPECjbb2005, SPEC retiring old benchmark in July 2013 World Record 2-chip on new realistic enterprise Java benchmark Xeon E7 Westmere Xeon E5-2690 Sandy Bridge SPECjbb2013 per-chip SPARC T5 1.9x faster HP x86 SPARC T5 SPARC T4 See benchmark disclosure slide

10 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 10 Oracle Engineered System’s Approach

11 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 11 Typical Business Application Stack Challenges Current State  Expensive to build and maintain  Complex, multi-vendor architecture  “One off” builds  Harder to scale  Unused capacity  Siloed systems  Harder to troubleshoot  More vulnerable

12 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 12 Reduced Complexity, Reduced Cost Hardware and Software Engineered to Work Together VS.

13 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 13 Oracle Engineered Systems’ approach Designed as Complete Infrastructure Typical Custom Configuration Performance Achievement Months Live to Production Assemble dozens of components Measure, diagnose, tune, and reconfigure Multi-vendor testing Test and debug production failure modes Performance Achievement Weeks Oracle Engineered System

14 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 14 Expedited time to valueExpedited time to value Easier to manage and upgradeEasier to manage and upgrade Lower cost of ownershipLower cost of ownership Exalytics Exadata Database Machine Exalogic Elastic Cloud SPARC SuperCluster Big Data Appliance Reduced change management riskReduced change management risk Better reliability and one-stop supportBetter reliability and one-stop support Extreme performanceExtreme performance Engineered Systems

15 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 15 SPARC SuperCluster Attributes  Applications plus database in one system  Integrated and optimized Exadata Storage Servers for database performance  True “Oracle Best on Oracle”  Zero overhead, most efficient virtualization  Industry-fastest processor for end-to-end security (fastest Database)

16 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 16 SPARC SuperCluster T4-4 Best for Oracle. Runs Your Existing Workloads SPARC T4 Compute Pool More than a 20 World Records over IBM and HP across every tier Exadata Storage Servers 750k IOPS, 43 GB/s query throughput Exalogic Elastic Cloud 10x Java performance Integrated ZFS Storage 2x faster and 2x better price performance of NetApp Oracle Solaris 11 Cloud provisioning in seconds Unmatched Scalability Virtualization Oracle VM Server for SPARC No cost and near zero overhead InfiniBand 5-8x the speed of current networks Enterprise Manager Up to 90% reduction of downtime due to proactive critical application patching

17 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 17 SuperCluster Gets Even Better – Powered by T5 with #1 performance for Database, Java, middleware, ERP, CRM etc – ~2.3x improvement in compute performance per rack – 33% more Exadata Storage Servers – Maintains the same SSC architecture – Dramatic improvement in price performance SPARC SuperCluster T5-8 Powered by Fastest Database and Applications Processor

18 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 18 2 * T5-8, each with – 4 * SPARC T5 Processors (64 cores) – 1 TB Memory – 4 * InfiniBand HCAs (dual port) – 4 * 10GbE NICs (dual port) – 8 * 900GB SAS disks Storage – 4 Exadata Storage Servers – ZFS Storage Appliance (60TB disk and 4*73GB Logzillas) Switches – 3 * InfiniBand 36 port switches – Cisco 4948 GbE Management switch SPARC SuperCluster T5-8 Half-Rack Configuration Details

19 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 19 2*T5-8, each with – 8 * SPARC T5 Processors (128 cores) – 2 TB Memory – 8 * InfiniBand HCAs (dual port) – 8 * 10GbE NICs (dual port) – 8 * 900GB SAS disks Storage – 8 Exadata Storage Servers – ZFS Storage Appliance (60TB disk and 4*73GB Logzillas) Switches – 3 * InfiniBand 36 port switches – Cisco 4948 GbE Management switch SPARC SuperCluster T5-8 Full-Rack Configuration Details

20 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 20 SPARC SuperCluster T5-8 Summary of Configurations SSC T5-8 Half RackSSC T5-8 Full Rack T5-8 Nodes22 T5 Compute Cores128 (64 cores per node)256 (128 cores per node) T5 Memory2TB (1TB per node)4TB (2TB per node) Exadata Storage Servers 48 ZFS SA60TB ~2.3x Compute capacity and 33% more Exadata Storage for both Full Rack and Half Rack SSC T5-8 vs SSC T4-4

21 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 21 Customer Use Case Terms of Use Clause This presentation provides actual customer use cases including System architectures and performance results for SPARC SuperCluster. The information contained herein is based on test results for these specific implementations, actual performance results for other customer implementations may vary. Why Oracle Software Runs Best on Oracle Hardware

22 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 22  COMPANY OVERVIEW – Oracle’s ERP implementation of Enterprise Business Suite R12 in a global single instance – Previous Implementation was 3 x M9000s and 2 x EMC DMX3000-M2 duplicated for production, disaster recovery, and test – Challenges:  I/O was saturated on EMC Storage  EMC support was costly  SOLUTION – SPARC SuperCluster plus 2 x Exadata Expansion Racks for production, disaster recovery, and test Oracle Corporation Oracle E-Business Suite: Global Single Instance Database Platform  SPARC SUPERCLUSTER BENEFITS – Rapid Deployment: 10 weeks from test to go live – Typical savings of $1.6M in hardware, software, and support costs over 5 years  PERFORMANCE RESULTS - 4x average improvement in EBS batch times - 7.7x improvement in number of database read/write I/Os due to Exadata flash cache - 4-6x improvement in average I/O response time - 3.3x improvement in database log sync time

23 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 23 Consumer Product Manufacturer, Asia IBM P Series Replacement, In Production  COMPANY OVERVIEW – Manufacturing company in China significantly expanding technology infrastructure over the next 5 years – Strategic plan to provide a highly available and elastic resources scaling infrastructure consolidate their multiple financial business applications – Purchased SuperCluster as a complete turn key engineered solution over IBM’s proposal which requiring component integration at a higher cost  SPARC SUPERCLUSTER BENEFITS – Superior platform engineered optimized for Oracle Database and SPARC, fully integrated, with Oracle as the single vendor for support, with rapid time to deployment – Oracle Solaris 10 and 11 determined as the most advanced and reliable OS for mission critical business, highly virtualized for consolidation with zoning mechanism allowing automatic policy-based resources allocation – SPARC SuperCluster was chosen as the optimal platform over IBM’s proposal, since Oracle provided a single vendor, single footprint, centrally managed  SOLUTIONS – SPARC SuperCluster half rack running Oracle Enterprise Database and Web Logic – Sun Blade 6000 with SPARC T4-1B and X6270 M2 blade server for the application server tier  COMPETITION – The competitive systems considered were IBM p770 and the IBM BladeCenter PS700 systems – SPARC SuperCluster was purchased over IBM's offer due to unique architecture – Long-term plan to move all applications from Websphere/DB2 to WebLogic/Oracle  SPARC SUPERCLUSTER KEY DIFFERENTIATORS – Integrated hardware and software, leveraging a clustered database system with highly available failover capabilities – Turn-key, integrated solution, rather than the traditional systems components – Oracle Solaris zoning and SPARC VM technologies provide cost saving for resources consolidation and virtualization – Zoning mechanism allows automatic policy-based resources allocation

24 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 24 Technology Areas Covered

25 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 25 Background  Evolution of SPARC Systems and Oracle Solaris technologies : – SPARC T5/M5/M6 Systems – SPARC Supercluster – VM2.0, ZFS, Zones, OVM, Critical Thread support, etc. – ZFSSA, Exadata Storage, Flash Technologies – Infiniband (IB) based Interconnect technologies

26 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 26 Oracle Database Integrations With Solaris  Largest SGA Size on planet: 64TB is supported  DB startup optimizations with Solaris 11.1 VM2.0 subsystem: Improved large page availability and helps Oracle DB availability in general  OSM support in DB for dynamic sizing of SGA and robust manageability  Critical Threads feature in Database for Logwriter and LMS  Integrated Crypto Acceleration for DB level crypto operations using ISA level support on T4/T5  Zones and Ldoms for Better Oracle DB consolidation  Improved RAC scalability with much reduced interconnect latency  Improved Observability and Profiling techniques

27 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 27 Oracle Database Integrations With Solaris  Memory demand predictor: enable better coordination and improved scalability for large page creation, cage growth, availability  Distributed kernel cage: reduce latency as well as memory backplane usage  Capture mechanism: common for multiple operations such as DR, FMA, cage growth, large page creation, and enable memory  Memory power management  Tile data structures: improve freelist scalability  Substantial improvement in debug support Solaris 11.1 VM2.0 User Benefits

28 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 28 Oracle Database High Availability On Solaris  Enable large (64 TB) SGA support for Database on Solaris  Solaris VM2.0 improves large page availability and helps DB availability  Oracle Solaris parallelizes DB SGA allocation using kernel threads (VMTASKS) – Default maximum number of vmtasks to the number of cores in the system Improving DB Startup Time by faster SGA Allocation

29 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 29 Oracle Database High Availability On Solaris  Enable Deferred SGA allocation for Oracle DB next major release out of the box on Solaris, can expect ~3x reduction in startup (no-mount) time w.r.t. Oracle 11gR2  Startup no-mount for 30 TB SGA on M5-32 using Oracle DB next major release in 120 sec  Improving spawning background, foregrounds and PQ slave processes time Improve DB Startup/Shutdown Time More in Next Major DB Release

30 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 30 Oracle Database Critical Thread Support  Scheduling Classes  TS, FX, RT  Dynamically modified using priocntl (requires privileges)  MPO aware load balancing  Balanced home lgroup assignment and lgroup aware scheduler  CMT aware scheduling  Critical Thread optimization (available in Solaris 11, Solaris 10U10)  Dynamically provides exclusive access to shared hardware resources  Enabled by running critical software processes/threads at FX 60  Observability  proc tools (plgrp, prstat) Oracle Solaris Scheduler Concepts

31 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 31 Oracle Database Critical Thread Support  Critical Threads support is integrated and is shipping for 11.2.0.3 onwards. Logwriter and LMS will run FX 60 by default.  Reduction in CPU utilizations and involuntary context switches  With LMS running FX 60, cluster wait time is reduced and RAC scalability is improved Improve Response Time and Throughput

32 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 32 Oracle Database Critical Thread Support  Use FX for foregrounds (OLTP) and PQ Slaves (DSS)  Typically, upto a 5% improvement with FX over TS  Apply with caution for systems running mixed workloads (OLTP, DSS, Batch, Others) FX scheduling for response time improvement

33 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 33 Crypto Acceleration for Oracle Database TDE  Integrated Solutions for TDE Accelerations: Oracle DB and Oracle Solaris optimized to access hardware crypto unit.  T4 crypto's implementation allows direct userland access  Performance: Encryption using T4 crypto has less than10% overhead compared to cleartext  Savings: Crypto acceleration, included at No additional cpu cost  Management: Centralized key management for all encrypted Oracle Database  TDE features are enabled out of the box Hardware Assisted Crypto Acceleration

34 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 34 Oracle Solaris Container for DB Consolidation  Consolidating multiple database instances into separate containers on the same system enables competing applications, such as OLTP and DSS workloads to run with Solaris resource allocation  Performance: Zero Overhead  Techniques to improve Instance Caging – Leverage Solaris resource management framework (Oracle 11.2.0.3) – Enable processor set aware lgroup memory allocation  It supports RDS V3 for SPARC SuperCluster and Exadata Zones

35 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 35 OVM for SPARC for DB Consolidation  Full virtual machine that runs an independent operating system instance and contains virtualized CPU, memory, storage, console  Performance: Zero overhead for cpu and memory  Direct H/W access with static direct IO, zero overhead on performance LDOMs: SPARC Built In Virtualization

36 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 36 Improve Observability for Oracle Database  Dtrace tightly integrated with Database Monitoring Framework  New v$kernel_io_outlier view added for reporting IO response time breakup on ASM and raw storage – SQL> desc v$kernel_io_outlier Name Null? Type ----------------------------------------- -------- ---------------------------- TIMESTAMP NUMBER IO_SIZE NUMBER IO_OFFSET NUMBER DEVICE_NAME VARCHAR2(513) PROCESS_NAME VARCHAR2(64) TOTAL_LATENCY NUMBER SETUP_LATENCY NUMBER QUEUE_TO_HBA_LATENCY NUMBER TRANSFER_LATENCY NUMBER CLEANUP_LATENCY NUMBER PID NUMBER CON_ID NUMBER Improve I/O Performance Diagnosability in Next Generation Database

37 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 37 Improved Observability On Solaris  System performance : Solaris + Platform – Process/thread analysis : lockstat, plockstat, truss, prstat and pstack – Memory Placement Optimization : plgrp, pmap, lgrpinfo – Interrupt assignment and load balancing : mpstat, mdb, intrstat – Hardware utilization and capacity planning : cpustat, corestat, pgstat, pginfo – Advanced level of debugging : Dtrace  Correlate data from different tools to identify systemic issues – For e.g. high GC latencies mpstat output prstat output – Can lead us to scheduler issues or interrupt saturation, etc Tools For Better Performance Diagnosability

38 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 38 Profiling Techniques  DTrace – Systemic analysis : End to end user to kernel to user – Drill-down analysis : e.g. High syscalls, which system calls, who issues it, what are the callstacks, arguments to the calls etc. – Speculative analysis – Proc, Sched and IO providers  Oracle Solaris Studio 12.3 – Accelerate Application Performance : Compiler, Performance library – Improves Observability : Performance Analyzer, DLight – Enhances Developer Productivity : Developer Tools

39 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 39 Scaling on M5 with 1536 cpus and 32TB memory

40 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 40 Massive Solaris scalability for T5 and M5  Virtual Memory – The T5 and M5 processors provide hardware acceleration for “TLB shootdowns”, thus demap operations in dynamic memory workloads is small on T5-8 and M5-32 – The VM2 project re-implemented the physical page management layer in Solaris 11.1, and offers scalability benefits – Replaced the VM system's global counters with credit trees in S11.1, and achieved a 45X speedup on an mmap() microbenchmark on T4-4 with 256 CPUs – Adjust kernel’s VA to support large heap and more physical memory and adjust process VA's to support larger shared memory segments – Reduced contention on various locks by increasing lock array sizes and improving the object-to-lock hash functions.

41 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 41 Massive Solaris scalability for T5 and M5  Resource Limits – As of Solaris 11.1, the default for “maxusers, max_nprocs, and pidmax” automatically scales up with CPU count and memory size, to a maximum of 999999 processes. – As of Solaris 11.1, the default number of threads that can be created scales with CPU and memory to a maximum of 1.6M  Scheduler: All functionality associated with clock scales nicely – In Solaris 11, eliminated the need to acquire the process and thread locks in most cases during quanta expiration and accounting, – Eliminated or reduced the impact of several smallish O(N) calculations that had become significant at 1536 CPUs.

42 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 42 Massive Solaris scalability for T5 and M5  Device: Higher device throughput and/or lower CPU utilization per unit of throughput on larger systems. – Re-implemented DVMA allocation using the Solaris kmem_cache and vmem facilities, with object size and quanta chosen to match common DMA transfer sizes. This provides a good balance between contention-free per-CPU caching, and redistribution of free space in the back end magazine and slab layers. – Also modified drivers to use DMA pools more efficiently, – Modified the IOMMU code so that 2GB of VA is available per PCI function, rather than per PCI root port.

43 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 43 Conclusions: Solaris and Oracle SPARC  Oracle #1 in real-world performance – Complete datacenter – Oracle runs Oracle best – SPARC T5/M5 performs best on complex workloads because of design – See www.oracle.com/benchmarks  Oracle Solaris: unmatched reliability, security & massive scalability on very large systems

44 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 44 Required Benchmark Disclosure Statement  Copyright 2013, Oracle &/or its affiliates. All rights reserved. Oracle & Java are registered trademarks of Oracle &/or its affiliates.Other names may be trademarks of their respective owners..  TPC Benchmark C, tpmC, and TPC-C are trademarks of the Transaction Processing Performance Council (TPC). SPARC T5-8 (8/128/1024) with Oracle Database 11g Release 2 Enterprise Edition with Partitioning, 8,552,523 tpmC, $0.55 USD/tpmC, available 9/25/2013, New Order 90th% Response Time 0.410sec. IBM Power 780 Cluster (24/192/768) with DB2 ESE 9.7, 10,366,254 tpmC, $1.38 USD/tpmC, available 10/13/2010, New Order 90th% Response Time 2.10 sec. IBM x3850 X5 (4/40/80) with DB2 ESE 9.7, 3,014,684 tpmC, $0.59 USD/tpmC, available 7/11/2011. IBM x3850 X5 (4/32/64) with DB2 ESE 9.7, 2,308,099 tpmC, $0.60 USD/tpmC, available 5/20/2011. IBM Flex x240 (2/16/32) with DB2 ESE 9.7, 1,503,544 tpmC, $0.53 USD/tpmC, available 8/16/2012. IBM Power 780 (2/8/32) with IBM DB2 9.5, 1,200,011 tpmC, $0.69 USD/tpmC, available 10/13/2010. Source: http://www.tpc.org/tpcc, results as of 3/26/2013.  SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Results from www.spec.org as of 3/26/2013. SPARC T5-8, 57,422.17 SPECjEnterprise2010 EjOPS; SPARC T4-4, 40,104.86 SPECjEnterprise2010 EjOPS; Sun Server X2-8, 27,150.05 SPECjEnterprise2010 EjOPS; Cisco UCS B440 M2, 26,118.67 SPECjEnterprise2010 EjOPS; IBM Power 780, 16,646.34 SPECjEnterprise2010 EjOPS. IBM PowerLinux 7R2, 13,161.07 SPECjEnterprise2010 EjOPS. SPARC T3-4 9456.28 SPECjEnterprise2010 EjOPS. SPARC T5-8 (SPARC T5-8 Server base package, 8xSPARC T5 16-core processors, 128x16GB-1066 DIMMS, 2x600GB 10K RPM 2.5. SAS-2 HDD, 4x Power Cables) List Price $268,742. IBM Power 780 (IBM Power 780:9179 Model MHB, 8x3.86GHz 16-core, 64x one processor activation, 4xCEC Enclosure with IBM Bezel, I/O Backplane and System Midplane,16x 0/32GB DDR3 Memory (4x8GB) DIMMS-1066MHz Power7 CoD Memory, 12x Activation of 1 GB DDR3 Power7 Memory, 5x Activation of 100GB DDR3 Power7 Memory, 1x Disk/Media Backplane. 2x 146.8GB SAS 15K RPM 2.5. HDD (AIX/Linux only), 4x AC Power Supply 1725W) List Price $992,023. Source: Oracle.com and IBM.com, collected 03/18/2013. SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Results from www.spec.org as of 5/1/2013. SPARC T5-8, 27,843.57 SPECjEnterprise2010 EjOPS; IBM Power 780, 10,902.30 SPECjEnterprise2010 EjOPS. Oracle server only hardware list price is $298,494 and total hardware plus software list price is $1,565,092 http://www.oracle.com as of 4/24/2013. IBM server only HW list price is $835,555 and HW+SW cost of $2,174,152.00 and BM PowerLinux 7R2 server total hardware plus software cost of $819,451.00 based on public pricing from http://www.ibm.com as of 4/24/2013.  SPEC & the benchmark name SPECjbb are registered trademarks of Standard Performance Evaluation Corporation (SPEC). Results as of 3/26/2013, see http://www.spec.org for more information. SPARC T5-2 75,658 SPECjbb2013-MultiJVM max-jOPS, 23,334 SPECjbb2013-MultiJVM critical-jOPS. Sun Server X2-4 65,211 SPECjbb2013-MultiJVM max-jOPS, 22,057 SPECjbb2013-MultiJVM critical-jOPS. Sun Server X3-2 41,954 SPECjbb2013-MultiJVM max-jOPS, 13,305 SPECjbb2013-MultiJVM critical-jOPS. SPARC T4- 2 34,804 SPECjbb2013-MultiJVM max-jOPS, 10,101 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant DL560p Gen8 66,007 SPECjbb2013-MultiJVM max-jOPS, 16,577 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant ML350p Gen8 40,047 SPECjbb2013-MultiJVM max-jOPS, 12,308 SPECjbb2013-MultiJVM critical-jOPS. Supermicro X8DTN+ 20,977 SPECjbb2013-MultiJVM max-jOPS, 6,188 SPECjbb2013-MultiJVM critical-jOPS. HP ProLiant ML310e Gen8 12,315 SPECjbb2013-MultiJVM max-jOPS, 2,908 SPECjbb2013-MultiJVM critical-jOPS. Intel R1304BT 6,198 SPECjbb2013-MultiJVM max-jOPS, 1,722 SPECjbb2013-MultiJVM critical-jOPS, HP DL980 G7 106,141 SPECjbb2013-MultiJVM max-jOPS, 23268 SPECjbb2013-MultiJVM critical-jOPS. Must be in SPARC T5 & M5 Presos with Benchmark Results (1 of 2)

45 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 45 Required Benchmark Disclosure Statement  Copyright 2013, Oracle &/or its affiliates. All rights reserved. Oracle & Java are registered trademarks of Oracle &/or its affiliates.Other names may be trademarks of their respective owners..  Two-tier SAP Sales and Distribution (SD) Standard Application benchmarks SAP Enhancement package 5 for SAP ERP 6.0 as of 3/26/13:SPARC M5-32 (32 processors, 192 cores, 1536 threads) 85,050 SAP SD users, 32 x 3.6 GHz SPARC M5, 4 TB memory, Oracle Database 11g, Oracle Solaris 11, Cert# 2013009. SPARC T5-8 (8 processors, 128 cores, 1024 threads) 40,000 SAP SD users, 8 x 3.6 GHz SPARC T5, 2 TB memory, Oracle Database 11g, Oracle Solaris 11, Cert# 2013008. IBM Power 760 (8 processors, 48 cores, 192 threads) 25,488 SAP SD users, 8 x 3.41 GHz IBM POWER7+, 1024 GB memory, DB2 10, AIX 7.1, Cert#2013004. Two-tier SAP Sales and Distribution (SD) Standard Application benchmarks SAP Enhancement package 4 for SAP ERP 6.0 as of 4/30/12:IBM Power 795 (32 processors, 256 cores, 1024 threads) 126,063 SAP SD users, 32 x 4 GHz IBM POWER7, 4 TB memory, DB2 9.7, AIX7.1, Cert#2010046. SPARC Enterprise Server M9000 (64 processors, 256 cores, 512 threads) 32,000 SAP SD users, 64 x 2.88 GHz SPARC64 VII, 1152 GB memory, Oracle Database 10g, Oracle Solaris 10, Cert# 2009046. SAP, R/3, reg TM of SAP AG in Germany and other countries. More info www.sap.com/benchmark www.sap.com/benchmark  SPEC & benchmark names SPECfp, SPECint are registered trademarks of the Standard Performance Evaluation Corporation. Results as of March 26, 2013 from www.spec.org and this report. SPARC T5-8: 3750 SPECint_rate2006, 3490 SPECint_rate_base2006, 3020 SPECfp_rate2006, 2770 SPECfp_rate_base2006; SPARC T5-1B: 467 SPECint_rate2006, 436 SPECint_rate_base2006, 369 SPECfp_rate2006, 350 SPECfp_rate_base2006. IBM Power 780 8-chip 3.92GHz: 2640 SPECint_rate2006. IBM Power 710 Express 1-chip 3.556GHz: 289 SPECint_rate2006.  TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org, results as of 6/7/13. SPARC T5-4 409,721.8 QphH@3000GB, $3.94/QphH@3000GB, available 9/24/13, 4 processors, 64 cores, 512 threads; SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; SPARC Enterprise M9000 386,478.3 QphH@3000GB, $18.19/QphH@3000GB, available 9/22/11, 64 processors, 256 cores, 256 threads; SPARC Enterprise M9000 198,907.5 QphH@3000GB, $15.27/QphH@3000GB, available 12/9/10, 32 processors, 128 cores, 128 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads. ; HP ProLiant DL980 G7 158,108 QphH@10000GB, $6.49/QphH@10000GB available 4/15/13, 8 processors, 80 cores, 160 threads. Must be in SPARC T5 & M5 Presos with Benchmark Results (2 of 2)

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