Transforming your IT Infrastructure for Improved ROI. October 2013

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1 1 Transforming your IT Infrastructure for Improved ROI October 2013

2 Legal Notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information about performance and benchmark results, visit Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and other. * Other names and brands may be claimed as the property of others. 2

3 Intel IT Data Center Transformation Strategy 3

4 Data Center Transformation Strategy Vision: Run Intel data center service like a factory and apply breakthrough technologies, solutions and processes to achieve industry leadership Build on practices established over the last decade. Improve the quality, velocity, and efficiency of data center services 4

5 Intel Data Center and Infrastructure Profile 5

6 Intel Data Center Profile Intel has five major functions (DOMES) driving DC requirements D O M Silicon Design Computing Office General Purpose Manufacturing FAB/ATM Chip Design & tapeout function HPC, Grid Computing Typical IT and internal customer services Examples: , collaboration tools Manufacturing computing that supports fabrication and assembly E Enterprise Enterprise applications supporting ebiz and ERP S Services External facing applications Example: Intel AppUp Diverse data center infrastructure capabilities support DOMES 6

7 Intel IT Data Center Infrastructure Trends 7

8 Intel Design Data Center Capacity Silicon design compute and storage demand vs utilization Compute Servers (K) EDA MIPS (10K) Cores (10K) Storage Raw (PB) Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 EDA-MIPS Electronic Design Automation Meaningful Indicator of Performance per System 8

9 Design Data Center Spend and Capacity Trends (plan) Storage & BaR 14% OS+mgmt 2% Server 25% Network 7% Head Count 8% Head Count (BB+GB) (BB+GB) 17% 17% Facilities 35% Storage & BaR 16% OS+mgmt 2% Server 21% Network Facilities 36% Storage & BaR 13% OS+mgmt 2% Server 23% Network 9% Head Count (BB+GB) 20% Facilities 33% Storage & BaR 13% OS+mgmt 2% Server 25% Network 8% Head Count (BB+GB) 22% Facilities 30% Design - Total Spends Design - Total Environment Units Growth Design Cost Per Unit (lower is better) % 239% % % 100% % 80 74% 95% % 60 56% 100% % (plan) (plan) (plan) Faster server refresh rate gets data center facilities cost down 9

10 External Comparison for Design DC Total and unit cost comparison 200% 180% 160% 140% 120% 100% 80% 60% 40% 20% 0% 2010 Costs 2011 Costs 2012 Costs 100% Design Internal 2010 Costs 186% Design External 2010 Estimated 26% Reduction 35% Reduction 74% Design Internal 2011 Costs 121% Design External 2011 Estimated 25% Reduction Notes External pricing is based on volume list price; Minimum required internal IT heads to support external cloud is included; Full technical feasibility of ability to use External not done.; Overall MOR data jointly developed with Finance; External data to be reviewed with Finance Large internal Design DC is Cost Competitive with External Cloud 56% 62% Design Internal 2012 Costs 49% Reduction Design External 2012 Estimated 10

11 Server/OS Instance Count Storage (PB) Intel Enterprise Data Center Capacity Intel IT Office/Enterprise compute and storage demand 35, ,000 Servers 29, ,000 Total OS Instances Storage (PB) 24, ,000 19, , ,000 13, ,000 7,684 9, , ,256 5, ,601 3,895 3,524 3,224 2,924 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y

12 Enterprise Data Center Spend & Capacity Trends (plan) Network 14% Storage & BaR 16% OS+mgmt 7% Head Count (BB+GB) 35% Server 7% Facilities 21% Network 15% Storage & BaR 16% OS+mgmt 8% Server 7% Head Count (BB+GB) 34% Facilities 20% Network 24% Storage & BaR 12% OS+mgmt 9% Server 7% Head Count (BB+GB) 30% Facilities 18% Network 26% Storage & BaR 12% OS+mgmt 10% Server 6% Head Count (BB+GB) 27% Facilities 19% 120% 100% 80% 60% 40% 20% 0% Design - Total Spends 100% 105% 107% 90% (plan) 250% 200% 150% 100% 50% 0% Design - Total Environment Units Growth 100% 131% 162% 200% (plan) Design Cost Per Unit (lower is better) 100% 100% 80% 80% 66% 60% 45% 40% 20% 0% (plan) Delayed server refresh increased cost on network & storage 12

13 External Comparison for O&E DC Total and unit cost comparison 200% 2010 Costs 2011 Costs 2012 Costs 180% 160% 140% 120% 100% 80% 60% 40% 20% 178% 100% 111% 142% 17% Reduction 16% Reduction 84% 92% 117% 31% Reduction 58% 29% Reduction 66% 0% O+E Internal 2010O+E Internal 2010 Costs Costs (Virtual) (Physical+Virtual) O+E External 2010 Estimated (Virtual) O+E Internal 2011O+E Internal 2011 Costs Costs (Virtual) (Physical+Virtual) O+E External 2011 Estimated (Virtual) O+E Internal 2012O+E Internal 2012 Costs Costs (Virtual) (Physical+Virtual) Notes External pricing is based on volume list price; Minimum required internal IT heads to support external cloud is included; Full technical feasibility of ability to use External not done.; Overall MOR data jointly developed with Finance; External data to be reviewed with Finance Internal virtual offerings are in line with external cloud costs O+E External 2012 Estimated (Virtual) 13

14 Reducing Rack Cost through Converged Infrastructure 14

15 Effect of Converged Infrastructure Infrastructure capital costs for virtualized environment (per host) % % 60 39% Reduction 56.5% 53.4% Server % 23.9% Ethernet/FC Connectivity 0 Rackmount Server Multiple GigE Rackmount Server 10GbE 3.6% Gen-1 Integrated Appliance 3.6% Gen-2 Integrated Appliance Converged infrastructure reduced network cost 15

16 Intel Tapeout HPC Case Study 16

17 Intel IT Tapeout Compute Challenge Deliver 10x more computing Reduce tapeout from 25 days to 10 days Find greater than 128GB RAM servers Increase compute environment reliability Reduce capital spending by $20 Million Make it all happen in 11 months 17

18 Delivered Scale & Increased Reliability 18

19 Higher Density, Superior Performance, and Lower Power Dual-Core Intel Xeon Processor based servers Quad-Core Intel Xeon Processor X5355-based servers Quad-Core Intel Xeon Processor E5450-based servers Quad-Core Intel Xeon Processor X5570-based servers Six-Core Intel Xeon Processor X5670-based servers Eight-Core Intel Xeon Processor E based servers Servers RAM per server RAM per core Total power consumed Distributed OPC jobs 16 GB 4 GB 32 GB 4 GB 32 GB 4 GB 24 GB 3 GB 48 GB 4 GB 9,360 Watts 6,450 Watts 3,200 Watts 2,250 Watts 1,532 Watts GB 4 GB 1,218 Watts 48 Time(mm:ss) 11:41 11:04 11:36 10:25 11:12 10:57 OPC Optical Proximity Correction Intel processor-based multi-core servers offer significant Data Center efficiency! Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit Intel Performance Benchmark Limitations. 19

20 Relative Throughput Intel Architecture Delivering Consistent Performance Improvement for OPC Intel architecture performance improvement for Optical Proximity Correction Xeon 1MB L2 (NCN 3.6) Xeon 2MB L2 (IRW 3.8) 2.98 Xeon 5160 (WDC 3.0) 5 Xeon X5365 (CVT 3.0) 6.6 Xeon X5460 (HPT 3.16) Xeon X5570 (NHM 2.93) Xeon X5675 (WSM 3.06) Xeon E (SNB 2.7) Intel internal measurements May 2007, November 2007, February 2009, March 2010, February 2012 Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit Intel Performance Benchmark Limitations. 20

21 Intel IT HPC Results Summary HPC has offered significant business value to Intel silicon tapeout Met 13X increase in compute demand with 11x improvement in stability $44.72M net present value to Intel HPC has improved Intel s ability to bring newer chips to market more quickly Reduced tapeout time from 25 days to 6 days (65nm to 45nm) 21

22 EDA Application Throughput Enhancer Intel SSD-Based Fast Swap Compute Platform 22

23 Intel SSD Enabling Core Over Subscription Base HT-SSD Throughput Gain with HT and Intel SSD Core Workload Uncore Workload FullChip Workload Core Workload Uncore Workload FullChip Workload SLES10SP3 SLES11SP1 SSDs deployed (Q4'12 -Q3'13) 13,319 Additional Server Capacity Gained 2,615 Net Power Saved in terms of servers 1,151 Total Data Center Rack avoidance 47 Total 10GbE port avoidance 94 As of September 2013, we have deployed more than 13,000 Intel SSDs for more than $10M in IT business value 23

24 RTL Throughput gain with job slots increase SNB Core workload with HT (32 Jobs No Swap) SNB Uncore workload with HT & SSD swap (Swap: Peak 62GB, Avg 43GB) SNB Fullchip workload with SSD swap (Swap: Peak 86GB, Avg 59GB) Gain is 29%-37% for RTL Simulation Throughput with SLES11-SP1 Gain is 22%-37% for RTL Simulation Throughput with SLES10-SP

25 EDA Application Performance Enhancer Higher Clock 1S Intel Xeon-based Platform 25

26 2S vs 1S Server Rack Comparison Cost, DC space, TPT near neutral - EDA license count, power, performance positive SandyBridge-EP Blade-based 3-chassis Rack Power Per Rack (KW) Data Center Space 1 Rack 1 Rack Number of Servers Number of IA CPU Sockets Number of IA Cores Memory Per Core 8GB 8GB EDA Licenses Need (%) 100% 75% EDA Throughput Per RACK 100% 95% EDA Performance 100% 127% IvyBridge-based 12-chassis Rack 2S vs 1S server comparison ratios: Number of cores difference is 4:1 Throughput difference is 3:1 Cost difference is 3:1 Intel Xeon E3-1280v2 3.6GHz, 4-cores/8MB, (TDP:69W) Supports 32GB memory & 4 drives 3x1S servers = 1x 2S server on throughput basis 26

27 Specifications, Performance, Throughput Server Specifications Components Intel Xeon E (2.6GHz) Intel Xeon E3-1280v2 (3.6GHz) Form Factor 16 Blades in 10U 12 SLED's in 3U CPU 2 x 2.6GHz 1 x 3.6GHz TDP 115W 69W Cores Eight Quad Memory 8GB x16, 128GB 8GB x 4, 32GB L3 Cache 20MB Shared 8MB Shared QPI Speed 8.0 GT/s Not Applicable Max HD Supported and Type 2 x SAS Drives 4 x SATA Drives Network 1GbE or 10GbE Shared 2 x 1GbE (front) per server Runtime Summary 2S Xeon E (2.6GHz/20M/115W/8C) 128GB Better performance, equal throughput with 25% Fewer Cores require 25% less number of EDA application licenses 1S Xeon E3-1280v2 (3.6GHz/8M/69W/4C) 32GB Workload VCS Core - N++ (113 Tests) 16J/4J 3:06:05 9:45:46 VCS Uncore - N++ (111 Tests) 16J/4J 13:57:03 43:26:11 Raw Performance VCS Core - N++ (113 Tests) 16J/4J VCS Uncore - N++ (111 Tests) 16J/4J Average (Higher is Better) Throughput VCS Core - N++ (113 Tests) 16J/4J VCS Uncore - N++ (111 Tests) 16J/4J Average (Higher is Better)

28 Intel IT Data Center Facility Consolidation 28

29 Data Center Facility Reduction Data center consolidation to optimally meet business demand 600, , , , , ,000 0% Intel Data Centers ( ) % 97% 93% 87% Intel DC space, power and cooling distribution EOY 2012 EOY 2013 (Planned) Segment Space (Sqft) DC# Space (Sqft) DC# Design 211, , Manufacturing 124, , OES 64, ,907 8 Mixed 18, ,320 4 Grand Total 419, , Fewer data centers meeting compute demand % Square Ft. Data Centers Power & C ooling C apacity Power (MW ) C ooling (MW )

30 Data Center Facility Reduction Goal: 90 to 59 in 2 years, Completed Execution DC Strategy on facilities reduction set in June 2011 to go from 90 data centers to 59 in 2 years Actual is trending to 58 data centers vs. goal of 59 data centers DC Count DC SqFt Distribution Keep 58 Dispose 32 Give Back 61,770 SF 72.35% ITIR+xCR 23,609 SF 27.65% Right focus to find IT cost efficiency 30

31 Intel IT Data Center Strategy Key Summary 31

32 Intel Data Center Strategy Vision: Run Intel data center service like a factory and apply breakthrough technologies, solutions and processes to achieve industry leadership SLA Scope DC Optimization Vectors Focus Middleware (NetBatch, NUMABooster, START, etc) Utilization Cost OS Virtualization Server, Storage, BaR Facilities Drive LAN/WAN Efficiency Adopt Open Source Storage Embrace Disruptive Servers Increase Facilities Efficiency MOR POR Goals Cost: >10% YOY improvement in $ per service delivery Utilization: >80% useful utilization of data center facilities, NW, server, storage capacity SLA: >99% of Tier-1, >95% of Tier-2 & Tier-3 Infrastructure SLA met 32

33 Sharing Intel IT Best Practices with the World Dive deeper into the information discussed today in these white papers. You can find them all at

34 Intel Confidential Do Not Forward

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