I I Hewlett Packard Enterprise HPE to Acquire Supercomputing LeaderCray Leading the Next Generation of May 17, 2019 High Performance Computing http://www.hpe.com/i nvestor/home

Forward Looking Statements This presentation may contain forward-looking statements that involve risks,uncertainties and assumptions. If the risks or uncertainties ever materialize or the assumptions prove incorrect, the results of Hewlett Packard Enterprise Company and its consolidated subsidiaries ("Hewlett Packard Enterprise") may differ materially from those expressed or implied by such for ward­ looking statements and assumptions. All statements other than statements of historical fact are statements that could be deemed forward-looking statements, including but not limited to any statements regarding the expected benefits and costs of the transaction contemplated by this presentation; the expected timing of the completion of the transaction; the ability of HPE, its subsidiaries and Cray to complete the transaction considering the various conditions to the transaction, some of which are outside the parties' control,including those conditions related to regulatory approvals; projections of revenue, margins, expenses, net earnings,net earnings per share, cash flows, or other financial items; any statements concerning the expected development, performance,market share or competitive performance relating to products or ser vices; any statements regarding current or future macroeconomic trends or events and the impact of those trends and events on Hewlett Packard Enterprise and its financial performance; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing. Risks,uncertainties and assumptions include the possibility that expected benefits of the transaction described in this presentation may not materialize as expected;that the transaction may not be timely completed, if at all; that,prior to the completion of the transaction, Cray's business may not perform as expected due to transaction-related uncertainty or other factors; that the parties are unable to successfully implement integration strategies; the need to address the many challenges facing Hewlett Packard Enterprise's businesses; the competitive pressures faced by Hewlett Packard Enterprise's businesses; risks a ssociated with executing Hewlett Packard Enterprise's strategy;the impact of macroeconomic and geopolitical trends and events; the development and transition of new products and services and the enhancement of existing products and services to meet customer needs and respond to emerging technological trends; and other risks that are described in our Fiscal Year 2018 Annual Report on Form 10-K, and that are otherwise described or updated from time to time in Hewlett Packard Enterprise's other filings with the Securities and Exchange Commission, including but not limited to our subsequent Quarterly Reports on Form 10-Q. Hewlett Pac kard Enterprise assumes no obligation and does not intend to update these forward-looking statements. E:::::::l Hewlett Packard Enterprise

Presenters Antonio Neri President & Chief Executive Officer Tarek Robbiati Executive Vice President & Chief Financial Officer E:::::::l Hewlett Packard Enterprise II

Together,Shaping and Leading the Next Generation of Computing (HPC) High Performance I I c Hewlett Packard Enterprise Global leader focused on developing intelligent solutions to capture, analyze and act upon data seamlessly from edge to cloud Premier provider of high-end supercomputing solutions, addressing customers' most challenging data­ intensive workloads for critical decisions E:::::::l Hewlett Packard Enterprise 1

Explosion of Data and Evolving Customer Needs for Workloads are Driving HPC Growth Industry Data Intensive Example Workloads Big data analytics Intelligence & Content - =o Computer Aided Engineering,Product acturing Design Seismic Exploration, Reservoir Modeling & simulation Artificial intelligence Life Sciences •3 E:::::::l 1) 2) 3) Source:Hyperion May 2019 estimates for 2018-2021 Exascale defined as computing systems with at least one exaFLOPS calculations per second Source:lntersect360 Research (July 2018) Hewlett Packard Enterprise 2 HPC opportunity of $288 in 2018 growing at 9%+ CAGR<1> $48+ Exascale opportunitiesC2 > over next 5 years,Cray already awarded $700M+ and well positioned for the future Government . 1111.Surveillance, Encryption, Communications Scientific & Industrial Research National Labs Weather1tWeather & Climate Modeling = Portfolio Optimization, HF Trading,Global $Risk Management Financial Services Media Deliver y Digital Content Creation & Dist W'Geoengineering,Chemical Engi Genomics, Drug Disc overy, Bio Predictive Medicine SilScientific & Industrial Research ribution neering, Simulation informatic s, Manuf Oil & Gas Academic •

These Customer Requirements Necessitate Dedicated High-End HPC Architectures with Key Features 3 High performance and scalable storage for Big Data Workload-optimized scale-out HPC solutions Big Data analytics tools, data science tools, AI/ML frameworks High Performance Compute Storage Software & Services Workflow management software and developer tools High performance interconnect fabric for efficient and low-latency data movement 1 μs Latency MPI 10+ PB Storage File Systems 1015 to 1018+ FLOPs

HPE Vision for High Performance Computing Workload Optimized Engineered E:::::::l Hewlett Packard Enterprise 4 Most comprehensive HPC partner ecosystem $2.18 FY18 HPE HPC revenue, 25% y/y growth Flexible Consumption Models AIand Data-Driven Deep Learning Solutions & Services Solutions

Cray is a Leading Innovator in Supercomputer Solutions I Storage & Data Management I I L-1 A_na__ly_ti_c_s_&_A_I-----Supercomputing System Interconnect XC series CS series Slingshot Exascale Performance ClusterStor File-based High-Performance Storage Urika-XC I CS Series Shasta Performance Software and Systems Management for Data Intensive Workloads HQ Seattle,WA E:::::::l 1) Source: TopSOO.org 2) Source: Cray 04 FY18 earnings conference call for FY18 revenue (government includes universities and government funded systems at non-government entities) Hewlett Packard Enterprise 5 Computation and Creativity to Ask 'What If', 'Why Not' & 'What's Next' Commercial i!: 20% Government -80%<3> FY18 revenue of $456M, growing 16% 8th generation technology with unique experience 28 of top 100 Supercomputers<2> -1,300 employees in 30 Countries USA manufacturing base Cray Research founded in 1972

Customers Trust Cray Decisions with Their Most Demanding Workloads for Critical Highlights • Awarded first & second U.S. i Government . L R Is roo)r Exascale contracts of 28 out of top 100 Supercomputers<l) #1storage in top 100 $700M+ A Mount Sinai It E'f(onMobil Chevron H A EPSRC • e MetOffKe · los Aiamos _IUliOi'IA I 1.. .-A•O•• .._,...., SCHOOl Of CE'CMWF MAYO 011\IC C{}J , Salllie KAUST Naliml I.IIJcntories Argonne • [1: ecitr'c.\co .. ..Jr('t'J OAr.. w "u ..u • RIDGE - L -tt ;\J61nllbn C.-tn'lmtnt --il--NCSA ._........ Supercomputers< 2) • ,,...,/, 8 urnu of 'k1 . KMA =-: TOTAL MmtOTOI(ll[l(ft(MY Undisclosed . % • o St.. ..fi .,h.t.t-. E"'IJ'fflO 'em(h•rl Leadin g presence in N .. Sli!. \ ,.../ r Undisclosed '••' ti1 -it-o Conf6C6r< IOn hUH9 PAWSEY • s JtO Citltre ..,.•...... cscs ConftCf'tll cnt So!lltr (onfocnl'!On),,,r, Government Growing commercial HPC business IHt PETRO.RA$ • ' n& I{OSfl'bl ••• Environment Canada roo • l4t1Sltt/pnH/rlkt S./1. - N IJ!3{A _.--lJihoru NukurJng' .....c-......._ -•• Wundisclosed Nll..,h.--... ® I -.-Undisclosed Undisclosed KISTI Mlflo.MI"t'eflenhk•Mlll Go...."'''""''.._... L - E:::::::l Hewlett Packard Enterprise 1) Source:TopSOO.org 2) Source: Cray internal data 6 Manufacturing &Gas O Life Sciences Academic NationalLabs, Weather, Geosciences Preferred Partner to Leaders Across Key Verticals

Marquee Customer Validation 7 Use Cases & Workloads: Extreme cosmological surveys Drug response prediction Solar cell discovery Size: $100M+ Key Product Features: First US Exascalesupercomputer Can handle traditional HPC& AI workloads Using Shasta architecture with Slingshot interconnects Announced: 3/18/2019 Use Cases & Workloads: Process high volume energy research Size: $146M Key Product Features: Supports 250K endpoints 64-port switch 200 Gbps Using Shasta architecture with ClusterStor Announced: 10/30/2018 Use Cases & Workloads: Scientific use cases leveraging AI Size: $600M+ Key Product Features: World’s most powerful super-computer with performance greater than 1.5 exaFLOPS Accelerator-centric blades with 4:1 GPU to CPU support Using Shasta architecture with Slingshot interconnect Announced: 5/7/2019

Combined Offerings Deliver FullRange of Leading HPC Solutions I I Hewlett Packard Enterprise TE:CHN:J LOGIES - Urika-XC I CS series Shasta High-end E:::::::l Hewlett Packard Enterprise 8 SGIApollo Superdome Flex Apollo StoreEver XC series CS series Shasta 9eRoAocoM (i_§) HPE FlexFabric Meilanox Sl shot TM •-Commercial Mid-tier Government Market Focus G REENLA K E HPE HPE lnfoSight Software & Services Interconnect Storage Compute

+ Cray Combination Delivers Significant Customer Benefits HPE II Unique and expanded end-to-end portfolio of HPC infrastructure - compute, storage,interconnect fabric,software and services 1 1 l:f= Differentiated next-generation technology addressing data intensive workloads -'-0'-4 + 0«: ;6......,... Scale,talent and technology enabling R&D innovation leadership tH:::e::w:::lJett Packard Enterprise .... . New offerings in Greenlake HPCaaS and AI/ML analytics Enhanced manufacturing and supply chain capabilities - "Made in the USA" • • • E:::::::l Hewlett Packard Enterprise 9 t•,_•,_,r• !J,l '' o., !__

Significant Economic Upside to be Realized Capitalize on growing HPC TAM Lead commercial supercomputing adoption $48+ Exascale opportunity over 5 years GreenLake HPCaaS offering [ M] 0a 0 High-end,data-intensive AI I ML I analytics Expand customer base OpEx Synergies COGS Synergies Supply chain and manufacturing efficiencies More efficient R&D with scale Leverage proprietary technology (e.g. Slingshot interconnect) Go-to-market improvements .= Optimize corporate costs a Consolidate real estate footprint E:::::::l Hewlett Packard Enterprise 10 Significant Cost Synergies Growth Opportunities

Transaction Summary Transaction Consideration Expected Financial Impact Approval Process Expected Closing $35.00 per share $1.3 billion in enterprise value, net of cash Transaction Summary Fund the acquisition through cash and a mix of new and existing financing facilities Significant annualized run-rate cost synergies attained by end of FY21, with additional upside in revenues from accelerating the adoption of HPC in the commercial sector Accretive to non-GAAP operating profit and earnings in the first full year One-time integration costs to be absorbed in FY20 free cash flow outlook FY20 free cash flow outlook of $1.9-$2.1 billion unchanged Approved by HPE and Cray Board of Directors Subject to approval by Cray shareholders Subject to regulatory approvals Expected to close by HPE’s first quarter of fiscal year 2020 Customary closing conditions (e.g. Cray shareholder approval, anti-trust regulatory clearance)

Successfully Accelerating Through Acquisitions Strategy and Enhancing Competitive Position • ,1--Products _.nimble storage PLE*i ·.-. bluedata .a :z: Flash Storage Analytics Software Software )( RedPixie Point Next Services Consumption Analytics Software AWS and US Focus Azure and UK Focus - ruba NETWORKS cape ()RASA Intelligent Edge Analytics Analytics E:::::::l Hewlett Packard Enterprise 1) Pending 12 Sensor Based Network Performance & Monitoring User and Entity Behavior Wireless Network Wireless Network Solution Provider Cloud Cloud Consulting Practice; Cloud Consulting Practice; Datacenter Management Big Data I Fast Data Software Defined Network Data Fabric All-Flash and Hybrid Quattrolabs Hyperconverged Platform High Performance Computing Supercomputing

A Compelling Combination I I c Hewlett Packard Enterprise Significant Customer Benefits SubstantialEconomic Upside E:::::::l Hewlett Packard Enterprise 13 Shape and Lead the Next Generation of High Performance Computing