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Diane Bryant Senior Vice President & General ManagerData Center Group

Big industry trends fuel data center growth Key Messages Investing to win across workloads & segments Revenue CAGR at 15% through 2018* *Forecast is based on current expectations and is subject to change without notice Source: Intel

Capitalizing on Industry Trends Move to Digital Service Economy Build out of the CLOUD Resulting in Four Data Center Growth Drivers Cloud NFV / SDN HPC Big Data Jevons Paradox Leads tonew usages Billionsof connected DEVICES NewSERVICES Increase in technology efficiency Increases rate of consumption

2013

2014

Jevons Paradox Next efficiency transformation Cloud Architecture & NFV / SDN 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Impact of high volume x86 servers1996-2014 0 SHV servers delivered 80% system cost savings over RISC & drove 625% increase in volume $ Mu 0 1996 2014F Move to virtualization fuels growth Revenue 2009-2014 5X improvement in server utilization results in 17% revenue CAGR 0 $ Rev CAGR 17%

Data Center Transformation Cloud ServiceProvider AWSDeployed 729 TFLOP HPC cluster, 71K cores in 60 min TencentDeployed NFV / SDN for Cloud network Technical Computing PaypalSemantic analysis using HPC for detecting anomalous transactions Telco ServiceProvider China MobileBig Data solution for billing inquiry service China Telecom + VMwareDelivering hybrid cloud, IaaS Enterprise IT In 2014, 12% of Enterprise IT deploying private cloud UBSNFV/SDN connecting a Hadoop cluster for banking operations Cloud NFV / SDN HPC Big Data Growth Drivers Underlie All Segments Sources: RightScale 2014 State of the Cloud Report, Amazon

Compute Capacity Drives Purchase Decision Shipped Compute* CAGR +39% Unit CAGR +5% ASP CAGR +6% *SpecInt x Volume AdvancedSKUs StandardSKUs BasicSKUs 100% New 0% 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Increased capacity per system drives up processor mix 70% of volume moves up over 4 years Analyzing DCG Growth 2 Socket Xeon Processor Mix Shipped Compute Capacity Volume & ASP F

00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Compute Capacity Drives End-user Value SKU selection provides Up to 44% TCO savings over 4 years Cost / Bandwidth Server A Server B CPU Haswell, 10 cores Haswell, 6 cores RAM 256GB 256GB Avg. System Cost $10,519 $7,519 # of Servers 10 19 4-year TCO $543,932 $977,672 Amazon’s TCO Analysis Enterprise IT TCO 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Customized SKU provides Up to 14% more performance for 2-4% incremental TCO

Data Center Growth Forecast 88% 78% 22% 12% 15% Rev CAGR Data Center Revenue Forecast Data Center Portfolio Diversifying

New Architectures CLOUD NFV / SDN Four Growth Drivers HPC BIG DATA New Usages

Jevons Paradox: Cloud Architecture Increased efficiency through the CloudRevenue Acceleration: Easier to create new apps and servicesOpEx Efficiency: Automation of the data centerCapEx Efficiency: Maximize use of system resources Traditional System 1 App System 2 App Virtualized Shared resources App Virtualization System 1 System 2 Virtualization App App App Cloud Self-serviceAutomationMulti-tenant Measured services Orchestration System 1 System N Virtualization Virtualization App App App App App App … = Resource Utilization

Annual Intel CPU sales Cloud Computing Growth 60% 68% 64% 57% 62% 55% 2% 3% 6% 8% 52% CAGR 10s of CSPs 100s of CSPs 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Connected Devices + Apps + New Services + New Service Providers Forecast is subject to change without notice Other names and brands may be claimed as the property of others.

Public Cloud SPs: Exposing Intel Value 45 Cloud Service Providers branding Intel Inside cloud services IBM Soft Layer AWS EC2 Applications & Services Intel PlatformSystem Telemetry Exposed Performance Security Cost Ease Powered by CloudTechnology ’09-’14RevenueCAGR 69% ’09-’14 94% 10% increase in MSS to Cloud Software Stack Source: Intel Other names and brands may be claimed as the property of others.

New Architectures CLOUD NFV / SDN Four Growth Drivers HPC BIG DATA New Usages

Mindspeed & Avago Acquisitions Network Infrastructure Data Center Network Wireless / Wireline Infrastructure STEP 1: Consolidate workloads on Intel Architecture Core STEP 2: Virtualize & automate the network (NFV / SDN) Switch Macro Base Station Small Cell IA Enabled Across the Network Backbone Router

00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 NFV / SDN Growth Accelerated network transformation 2011 NFV Research Results 2012 9 Use Case Definitions 2013 Proof-of-Concepts 2014 Pilots + 1st Commercial Deployments “…demonstrating 320G half duplex, or greater than 2x better than competitor offers, for a virtualized Provider Edge routing application in a single x86 server. “ - November 12, 2013 Alcatel-Lucent brings IP routing to cloud with most complete portfolio of virtualized IP Edge router functions Other names and brands may be claimed as the property of others.

Other names and brands may be claimed as the property of others.

Maximizing Intel Opportunity & Return 20147.5% MSS 2.5pts YoY 00101010101010101010100010100101100110110101 2014First $1B+ Year 00101010101010101010100010100101100110110101 Growing Network Opportunity Network SAM 11x increase $17.5B 0 $ 2008 2014F Growing Intel Revenue 3x in 6 years 0 $ Forecast is subject to change without notice

NFV / SDN Ecosystem Growth Intel® Network Builders Program Growing the ecosystem to accelerate NFV and SDN solutions >100 members enabling IA-based open standards solutions for Networking Other names and brands may be claimed as the property of others.

New Architectures CLOUD NFV / SDN Four Growth Drivers HPC BIG DATA New Usages

High Performance Computing Growth Sources: Top 500.org, hpcuserforum, HPCwire, IDC, Intel $174M “Trinity” 62%Top 500FLOP CAGR 71%Intel Top 500FLOP CAGR 0% 100% Top 500 MSS 86% 33% Government & Research Real-time analytics Genomic sequencing % of HPC spend in Public Cloud TODAY BY 2017 Big Data Cloud ~10% ~20% New Usages 70% to 92%XeonMSS Move from Physical to Digital 2003-2013 11%XeonUnit CAGR Commercial Other names and brands may be claimed as the property of others.

HPC: Maximizing Intel Value #1 supercomputer runs on Xeon Phi2nd gen design wins > 1st gen sales to date>50 system providers committed Maximize Si Opportunity TrueScale Infiniband growth 50% YoYDesign wins for Omni Path integrated fabricHPC software stack investment Expand System Capability Advance the Parallel Ecosystem 41 Intel Parallel Computing Centers14 countries70+ apps Source: Intel

New Architectures CLOUD NFV / SDN Four Growth Drivers HPC BIG DATA New Usages

00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Jevons Paradox: Big Data Growth New discoveries drive massive amounts of compute & storage Average Server Cost2003-2013 40% Storage Cost / GB2003-2013 90% Big Data TAM Sources: IDC WW Big Data Forecast 2014-2018, Intel estimates $13BTAM $41BTAM

00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Big Data: Maximizing Intel Value Accelerate implementation of Big Data solutions through optimized platform & tangible proof points Addressing a $41B TAM by 2018Dramatic server growth YoYHadoop optimized for IAIndustry enabling with PaaSBuilds upon full Intel portfolio: Xeon, Xeon Phi, fabrics, flash, FPGA A-wear Wearables-to-Analytics Developer Platform Source: IDC WW Big Data Forecast 2014-2018 Hadoop Distribution Other names and brands may be claimed as the property of others.

BIG DATA analytics An Intel Company Other names and brands may be claimed as the property of others.

Products and Technologies Processors: Standard to Custom Silicon Photonics Rack Scale Architecture

STANDARD SILICON CUSTOM LOGIC ENABLING SYSTEM DESIGN SERVICES CUSTOM CPU OPTIMIZATIONS CUSTOMER FEATURE INTEGRATION FULL CUSTOM CPU Standard to Custom Roadmap Inclusion of customer’s IP in standard product Board design, electrical, mechanical Proprietary interface licensing & support Performance enhancements to match customer workload Customer specified product Grantley7 node controllers3 FPGAs1 memory ASIC Grantley10 motherboards28 NICs Grantley35 SKUs 4 in Grantley2 in development >10 customer engagements In the past 4 months, custom CPUs launched 100s SKUs C4 Azure-G Exalogic Elastic Cloud MoonshotXeon with Intel® Iris Graphics Other names and brands may be claimed as the property of others.

2015 HPCCopper Replacement Silicon Photonics Shipping Now Data CentersFiber Optic Replacement 2015 Rack Scale ArchitectureCopper Replacement I/O = 30% of System Cost Remove density constraints Serviceability & reliability Lower power Cost / Bandwidth Density 100G 400G 1TB Intel Silicon Photonics x y z Other Silicon Photonics ~2x ~3y ~4z Discrete Fiber ~3x ~6y ~10z 100Gb/s in Rack 100Gb/s Copper limited to 3m 100 Gb/s Silicon Photonics reach of up to 2km Disruptive Cost Structure 3 Market Opportunities Only fully integrated silicon solution; benefitting from Moore’s Law Source: Intel

Silicon Photonics: Moving Data with Lasers Silicon Photonics Revenue Forecast 0 $ 100% CAGR Design Wins Source: Intel Multiple suppliers commercializing MXC standard Industry Standard Cabling & Connectors Intel Silicon Photonics module Other names and brands may be claimed as the property of others.

Rack Scale Architecture With Cloud the rack becomes the unit of computeCompose & decompose resources dynamically based on application need Up to 3X fewer cables Up to 1.5X servers per rack Intel Ethernet controller & switch Intel Silicon Photonics Intel SSD Customers & Partners 2015 Up to 5X reduction in provisioned power

Leadership roadmap across Server, Storage & NetworkCustomization for targeted workloads~$2B annual R&D investmentBroadest ecosystem & compatibility Best perf / TCO Competition Any time I work out the cost models, it’s not quite there. Intel is also easier to work with on some of the custom work that Amazon requires. - James Hamilton, vice president for Amazon Web Services High interest in data center business 16 12 vendors 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Why Intel Other names and brands may be claimed as the property of others.

Data Center Summary Industry trends create continued revenue growth opportunitiesInvesting to win across Server, Storage, networkPerformance and TCO leadershipExpanding technology portfolio – fabrics, silicon photonics, customization driving revenue growthRevenue CAGR of ~15% through 2018 Data Center Revenue Forecast 15% Rev CAGR Cloud NFV / SDN HPC Big Data

For More Information Big Data Analytics in Retail 00101010101010101010100010100101100110110101 00101010101010101010100010100101100110110101 Demos Rack Scale Architecture Silicon Photonics in HPC NFV Service Chaining

Legal Disclaimers 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. All dates, forecasts and products specified in this presentation are subject to change without notice. This presentation will not be updated to reflect any such changes. Copyright 2014 Intel Corporation. *Other names and brands may be claimed as the property of others.

Risk Factors The statements in the presentations and other commentary that refer to plans and expectations for the fourth quarter, the year and the future are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “plans,” “believes,” “seeks,” “estimates,” “may,” “will,” “should” and their variations identify forward-looking statements. Statements that refer to or are based on projections, uncertain events or assumptions also identify forward-looking statements. Many factors could affect Intel’s actual results, and variances from Intel’s current expectations regarding such factors could cause actual results to differ materially from those expressed in these forward-looking statements. Intel presently considers the following to be important factors that could cause actual results to differ materially from the company’s expectations. Demand for Intel’s products is highly variable and could differ from Intel’s expectations due to factors including changes in the business and economic conditions; consumer confidence or income levels; customer acceptance of Intel’s and competitors’ products; competitive and pricing pressures, including actions taken by competitors; supply constraints and other disruptions affecting customers; changes in customer order patterns including order cancellations; and changes in the level of inventory at customers.Intel’s gross margin percentage could vary significantly from expectations based on capacity utilization; variations in inventory valuation, including variations related to the timing of qualifying products for sale; changes in revenue levels; segment product mix; the timing and execution of the manufacturing ramp and associated costs; excess or obsolete inventory; changes in unit costs; defects or disruptions in the supply of materials or resources; and product manufacturing quality/yields. Variations in gross margin may also be caused by the timing of Intel product introductions and related expenses, including marketing expenses, and Intel’s ability to respond quickly to technological developments and to introduce new features into existing products, which may result in restructuring and asset impairment charges. Intel operates in highly competitive industries and its operations have high costs that are either fixed or difficult to reduce in the short term. The declaration and rate of dividend payments and the amount and timing of Intel’s stock buyback program are at the discretion of Intel’s board of directors, and plans for future dividends and stock buy backs and could be affected by changes in Intel’s priorities for the use of cash, such as operational spending, capital spending, acquisitions, and because of changes to Intel’s cash flows and changes in tax laws.Intel’s expected tax rate is based on current tax law and current expected income and may be affected by the jurisdictions in which profits are determined to be earned and taxed; changes in the estimates of credits, benefits and deductions; the resolution of issues arising from tax audits with various authorities, including payment of interest and penalties; and the ability to realize deferred tax assets. Gains or losses from equity securities and interest and other could vary from expectations depending on gains or losses on the sale, exchange, change in the fair value or impairments of debt and equity investments; interest rates; cash balances; and changes in fair value of derivative instruments. Intel's results could be affected by adverse economic, social, political and physical/infrastructure conditions in countries where Intel, its customers or its suppliers operate, including military conflict and other security risks, natural disasters, infrastructure disruptions, health concerns and fluctuations in currency exchange rates. Intel’s results could be affected by the timing of closing of acquisitions, divestitures and other significant transactions.Intel's results could be affected by adverse effects associated with product defects and errata (deviations from published specifications), and by litigation or regulatory matters involving intellectual property, stockholder, consumer, antitrust, disclosure and other issues. An unfavorable ruling could include monetary damages or an injunction prohibiting Intel from manufacturing or selling one or more products, precluding particular business practices, impacting Intel’s ability to design its products, or requiring other remedies such as compulsory licensing of intellectual property.A detailed discussion of these and other factors that could affect Intel’s results is included in Intel’s SEC filings, including the company’s most recent Form 10-Q, Form 10-K and earnings release.

INVESTOR MEETING 2014 SANTA CLARA, NOVEMBER 20