Forward-looking statementsThis is a rolling (up to three year) roadmap and is subject to change without notice.

This document contains forward looking statements regarding future operations, product development, product capabilities and availability dates. This information is subject to substantial uncertainties and is subject to change at any time without prior notification. Statements contained in this document concerning these matters only reflect Hewlett Packard Enterprise's predictions and/or expectations as of the date of this document and actual results and future plans of Hewlett Packard Enterprise may differ significantly as a result of, among other things, changes in product strategy resulting from technological, internal corporate, market and other changes. This is not a commitment to deliver any material, code or functionality and should not be relied upon in making purchasing decisions.

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Hewlett Packard Enterprise confidential informationThis is a rolling (up to three year) roadmap and is subject to change without notice.

This Roadmap contains Hewlett Packard Enterprise Confidential Information.

If you have a valid Confidential Disclosure Agreement with Hewlett Packard Enterprise, disclosure of the Roadmap is subject to that CDA. If not, it is subject to the following terms: For a period of three years after the date of disclosure, you may use the Roadmap solely for the purpose of evaluating purchase decisions from HPE and use a reasonable standard of care to prevent disclosures. You will not disclose the contents of the Roadmap to any third party unless it becomes publicly known, rightfully received by you from a third party without duty of confidentiality or disclosed with Hewlett Packard Enterprise’s prior written approval.

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4

Session ID: B12680 Speakers: Craig Yamasaki, Bill Dunmire and Marty Poniatowski

HPE purpose-built solutions for complex HPC workloads

Craig Yamasaki, Director, HPC Product ManagementBill Dunmire, Director, Solution Marketing, Mission-Critical SystemsMarty Poniatowski, Senior Director, Solution Architects.#HPEDiscover

Table of contents

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The HPE Compute Experience

Ideal IT Platforms for Optimizing Common Workloads

Extending HPE’s market leadership in HPC with the SGI acquisition

New extreme compute platforms for HPC

In memory HPC – Scale-up

Digital transformation enables value creation

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Insights from data New business models Efficiency

“Bank of America testing ‘completely automated’ branches”

“Predictive Analytics Driving Results, ROI at UPS”

“Baidu to take on Didi in theChinese self-driving car market”

The right mix of Hybrid IT is key to that transformation

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Hybrid IT Hybrid IT

Someone else’s data centerYour data center

But the current Hybrid IT experience requires compromise

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Pros – Maintain control of critical data

– Optimize core applications

– Accelerate and manage compliance

Pros – Pay only for what you need

– On-demand provisioning

– Agile application development

Cons– Overprovision for unpredictable demand

– Complex to procure and provision

– Requires capital outlay

Cons– Lock in and high cost to scale

– Unacceptable latency

– Commodity IT (One size fits all)

Trade-offs

Innovations that eliminate the compromise

Agility Security

A better way to deliver business results

A better way to protectyour business and data

Economic control

A better way to consume and pay only for what you use

Introducing a new generation Compute experience from HPE

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Powered by the world’s most secure industry-standard servers1

1, Substantiation: Based on external firm conducting cyber security penetration testing of a range of server products from a range of manufacturers, May 2017

Optimizing common workloads

Marty Poniatowski,Senior Director, Solution Architects East, HPE

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21 chapters across multipleIT workloads

Three chapters dedicated to HPC

– Chapter 2: High Performance Computing: Business Intelligence

– Chapter 3: High Performance Computing: Scientific Research

– Chapter 4: Scale-out Workloads

Ideal IT Platforms for Optimizing Common Workloads

Ideal IT Platforms for Optimizing Common Workloads

# Chapter Name # Chapter Name

1 Anatomy of Workloads 12 HPE Hyper Converged System Running Multiple Workloads

2 High Performance Computing: Business Intelligence 13 SAP HANA

3 High Performance Computing: Scientific Research 14 Microsoft SQL Server Scale-UP Workload

4 Scale-Out Workload 15 Backup and Recovery of Virtual Machines

5 Scalable Storage 16 Hyper Converged Backup and Recovery

6 Archiving Large Files 17 Disaster Recovery

7 Hosted Desktop Infrastructure (HDI) 18 An Asymmetric Approach to Hadoop

8 Virtual Desktop Infrastructure (VDI) 19 Hybrid IT – The “Right Mix”

9 Engineering Virtual Desktop Infrastructure (eVDI) 20 The Power of Connection: The Internet of Things (IoT)

10 Citrix Implementation on HPE Hyper Converged 250 21 The Future: Memory-Driven Compute and ComposableInfrastructure

11 EMR Software on ConvergedSystem

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Industry’s most complete portfolio to meet any workload demand

HPE ProLiant BL FamilyBlade Servers

HPE ProLiant DL Family Rackmount Servers

HPE Hyper Converged Systems

Distributed Systems, Virtualization, Enterprise Applications, Webservers, Databases, Email, SharePoint, Graphics Rendering

Fully integrated, configured systems EnterpriseApplications, VDI

HPE Synergy

Composable Infrastructure(True Hybrid IT – cloud

native or Enterprise apps)

HPE MoonshotSoftware-defined Servers

Hosted Desktop (HDI)Video Transcoding

HPE CloudlineOpen Servers

Scale-out workloads

HPE EdgelineIoT Devices

Edge compute hardware

HPE Apollo 2000HPC Servers

Machine Learning, DNA Sequencing, Monte Carlo

Simulations, Real-time Analytics, Machine Learning

HPE Apollo 4000 seriesStorage Servers

Hadoop/Spark/NoSQObject Storage

HPE ProLiantEasyConnect

Hybrid IT for home/office

HPE IntegritySuperdome X

Mission-Critical x86Servers – MC990x

SAP HANA, SQL Server

HPE Integrity Rack Server

SAP HANA, SQL Server

HPE Integrity Nonstop

Virtually unlimited scalability with extreme performance for

mission-critical systems –ATMs, 911 response,

payments

Universal memory & photonics allow massive dataset

manipulation

The Machine

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Extending HPE’s market leadership in HPC with the SGI acquisition

SGI strengthens HPE’s high performance computing and mission critical solutions

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– Industry leading capabilities and solutions

– Large shared memory system technology

– More choice of platforms and delivery models; most comprehensive portfolio in the industry

– Market share leader and scalable performanceleader in the industry

– Sustained R&D withemerging technologies

– ‘The Machine’ and HPE ecosystem capabilities

– Accelerate ExascaleCompute

– Deep Supercomputingresearch skill

– Emphasis on Customerworkflow acceleration

– Comprehensive professional services with deep vertical industryexpertise

– Best in class manufacturingcapabilities including U.S. manufacturing

– Global coverage with single point of accountability

– Unmatched technical support

– Deepest commitment to Compute, HPC, big data, Mission Critical and Data Center Infrastructure

– Production Supercomputing focus protects customer investment

– Industry Leading capabilities for Hybrid IT

Breadth, choice and flexibility

Portfolio

Capabilities andcoverage

Manufacturing, service and support

Accelerated research and investment

Technology innovation

Long term vision and roadmap

Investment protection

HPE purpose-built portfolio for HPC and AI

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HPE Apollo 6500

Rack-scale GPUComputing

HPE IntegritySuperdome X

HPE Integrity MC990 X

Scale-up, shared memory HPC, UV

Technologies

HPE Apollo 6000

Gen9

Rack-scale HPC

HPE Apollo 2000

The bridge to enterprisescale-out architecture

HPE SGI 8600

Liquid cooled, delivering industry leading performance, density, &

efficiency

HPE Apollo 6000

Gen10

Extreme Compute Performance in High

Density

Supercomputing / Enterprise / Commercial HPC

Intel NVIDIA Seagate

HPC Storage Choice of Fabrics

HPC and AI Industry Solutions

Weather and Climate Research

Financial Services

Life Sciences, Health

Academia, Research, Gov’t

Oil and Gas, Energy

EDA / CAEManufacturing

HPE Software

Open Source

Software

Commercial HPC Software

– HPE Performance Software - Core Stack

– HPE Insight Cluster Management Utility

– HPE SGI Management Suite

HPE Apollo 4520

Arista Networking

– Intel® Omni-Path Architecture

– Mellanox InfiniBand

– HPE FlexFabric Network

HPC Data Management Framework

Software

Large-scale, storage virtualization and tiered data management platform

HPE Performance Software Suite

Emerging HPC In-memory HPC

Additional Storage Options available

Mellanox

Advisory, professional and operational services – HPE Flexible Capacity for HPC, HPE Datacenter Care for Hyperscale

HPE High Performance Computing Software

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Building the No. 1 HPC software environment

Integrated

Supported*

Validated

Performance optimized

HPE HPC Software

Commercial HPC Software

Open Source

Software

*Support does not include Open Source components

Software

Comprehensive, integrated software portfolio to enhance agility

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HPE Performance Software Core Stack for HPE Apollo, HPE ProLiant

Remote Visualization Software

Mellanox HPC-X: OpenSHMEM, Berkeley UPC, MXM, FCA

HPE Performance Software -Message Passing Interface*

NVIDIA CUDA Toolkit

Intel® Parallel Studio XE

System software

HPE SGI Management Suite for HPE SGI 8600

HPE Insight Cluster Management Utility for HPE Apollo, HPE ProLiant

HPE Clustered Extents File System (CXFS)HPE Data Management Framework (DMF)

Software stack

Workload management

Visualization

Fabric software

Software development

System management

Data management Intel® Enterprise Edition for Lustre*

Software

Available August 2017

HPE Insight Cluster Management Utility

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Proven management for HPC and big data clusters Reduce time to production

Maximize resource delivery

Increase productivity

Ease of operation – New options for streamlined provisioning out-of-the

box– Improved diskless boot time, scaling faster

Improved monitoring – Monitor aggregated metrics using new alerts– Ease monitoring setup with GUI improvements

Streamlined management – More power control options with expanded REST

API – Dynamically update system components within

inventory files for Ansible Playbooks

Speed– Provision more than 1000

nodes in less than 30 minutes

– Scale beyond 4096 nodes with the Insight CMU “limitless” architecture

Scale

– Streamline automation between Insight CMU and other platforms with the Partner Connector Program

– Access to comprehensive, single-pane monitoring via a 2D or 3D GUI, or a command line interface

Interoperability

Ease

New HPE Insight CMU 8.2

Introducing HPE SGI Management Suite1

All-encompassing proven system management suite for HPE SGI 8600

211 Formerly known as SGI Management Suite

Reduce time to production

Increase productivity, minimize shutdown

Lower operating costs

New HPE SGI Management Suite 3.5

Improved monitoring:

– InfiniBand monitoring as standard

Extended support:

– HPE SGI Management Suite now supports Gen10

– In minutes instead of hours or days

– Servers are provisioned in parallel decreasing downtime

– Manages multiple Linux OS images

– Provisioned across the system or on specific cluster nodes

Identifies changes requiring action, automatically alerts system admin, provides proactive solutions to correct the problem

Forecast: Measure and predict power usage for better planning

Manage: Prevent system failures using power capping

Control: Finite control and smart scheduling with job-level power management

Bare metal provisioning Version control image mgt.

Comprehensive power mgt. Proactive system health mgt.

HPE Performance Software - Core StackEasy to get started with HPC and maintain operations

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Available as a free customer download

– 120-day trial license for clusters of any size

– Free for standalone clusters up to 32 nodes

– InstantOn license: runs out of the boxOpenHPC application

compatible– Online repository for

component updates

One integrated distribution– Pre-built, high-value HPE

components– Primarily open source– Integrated partner components– Validated and tested by HPE

HPC Environment out-of-the-box

New Core Stack 2.2

Enhanced functionality and more compatibility

– Access to most up-to-date releases of NVIDIA CUDA Toolkit, NVIDIA drivers, Mellanox OFED and HPC-X and Intel® Omni-Path Architecture

– Extended support for HPE ProLiant Gen10 servers

HPE Apollo 6000 Gen10 overview

Extreme compute performance in high densityHPE Apollo 6000 Gen10 System

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Leading Performance– Uses the new Intel® Xeon® Processor Scalable family

– Increase performance and future proofing with persistent storage on memory bus

Rack scale efficiency– Improve rack level RASM features through system

integration

– Quickly deploy, service, and manage with cold aisle front accessible nodes

Purpose-built for HPC– Optimize full network switch utilization with node to fabric

alignment

– Automate task scheduling and management with Insight Cluster Management Utility

Fast, secure and resilient compute, storage and fabric technologies built with rack level efficiencies to deliver exceptional price performance

Security

Agility Control

NewGen10

Capabilities

Purpose-built for large scale HPC deploymentsHPE Apollo 6000 Gen10 System

251, 2, 3, 4 Substantiation for quantifiable benefits in speaker notes.

Security

Agility Control

NewGen10

Capabilities

– 100Gbs node to node connectivity

– Lower latency and higher IOPs1

with NVMe storage

– Increased performance and future proofing2 with persistent storage on memory bus

Leading performance Using latest technologies

– Reduce IT deployment, maintenance time and support costs3 through minimized cabling

– Rapidly install and deploy using consolidated iLO port

– Minimize power consumption and reduce cooling costs4 when nodes are not fully utilized using advanced thermal technology

– Quickly deploy, service, and manage with cold aisle front accessible nodes

– Improved reliability with choice of Ethernet, Omni Path Architecture and EDR InfiniBand switches

– Enhanced Security with TPM, Secure Firmware updates, iLO5, Secure Encryption

Rack scale efficiencyDesigned for scale-out

Purpose-built for HPCOptimized for TCO

World’s largest chemical company creates chemistry with HPCBASF selects HPE to build supercomputer for global chemical research

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Key features

– HPE Apollo 6000 Gen10

– > 1 Petaflop using Next Gen platform

– Multitude nodes

– Works simultaneously on highly complex tasks

– Dramatically reduces processing time

BASF Supercomputer

– Designed to be one of the world’s largest supercomputer

– Drive digitalization of BASF's worldwide research

– Shorten modeling / simulation times (months to days)

– Solve complex problems while decreasing discovery time

– Run virtual experiments to reduce time-to-market, lower costs

“The new supercomputer will promote the application and development of complex modeling and simulation approaches, opening up completely new avenues for our research at BASF. The supercomputer was designed and developed jointly by experts from HPE and BASF to precisely meet our needs.”

– Dr. Martin Brudermueller, Vice Chairman of the Board of Executive Directors and CTO, BASFBASF Cluster - HPE Factory Build in Houston, TX, May 2017

New HPE SGI 8600 overview

Designed to solve the world’s most complex problems HPE SGI 8600

281, 2, 3, 4, 5 Substantiation for quantifiable benefits in speaker notes

Leading performance

– Fastest Distributed Memory Systems on the Planet1 for message passing with performance validated on SPECmpiM_2007 and SPECmpiL_2007 both peak and base results.

– Legacy of leading benchmark and real world application performance2

Ease of use

– HPE SGI Management Suite:

– From provisioning of thousands of nodes in minutes3

– Detailed system health monitoring to fine-grained power management

– Quick time to solution with off the shelf OS and applications

Density / Scale / Efficiency

– Scaling to >10,000 nodes without additional switches4 using integrated switches and hypercube technology

– Substantial savings in cooling costs5 with Closed-Loop Airflow” which ensures no air within the cell is mixed with datacenter air

SPEC and the benchmark name SPEC MPI are registered trademarks of the Standard Performance Evaluation Corporation (SPEC). All rights reserved. The stated results are published as of May 12, 2017; see spec.org.

Leading performance, density, scaleand efficiencycoupled with

robust system tools for

quickest times to solutions

Addressing key requirements for large-scale distributed computingHPE SGI 8600

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– >1/2 Petaflops of pure x86

compute TFLOPS per rack with

Intel® Xeon® Processor Scalable

family1

– Fastest Distributed Memory

Systems on the Planet2 for

message passing with

performance validated on

SPECmpiM_2007 and

SPECmpiL_2007 both peak and

base results.

Performance improvements Using latest Intel® processors

– 4 dual socket Intel® Xeon® Processor

Scalable node tray – Up to 288

nodes / 512 CPUS per E-Cell

– 1 dual socket Intel® Xeon® Processor

Scalable node supports up to 165W

and up to 4 NVIDIA Tesla P100 with

NVLink tray (SXM2)

– 4 single socket with Intel® Xeon PhiTM

node tray

More Compute optionsChoice of three server trays

– Runs complex HPC workloads

at Petaflop speed with liquid-

cooled, tray-based, scalable,

high-density clustered computer

system

– Designed to Efficiently Scale to

Thousands of Nodes3 through

superior power and cooling

efficiency coupled with

advanced power management

Efficient and dense designCompact E-Cell design

1, 2, 3 Substantiation for quantifiable benefits in speaker notes.

Security

Agility Control

NewGen10

Capabilities

SPEC and the benchmark name SPEC MPI are registered trademarks of the Standard Performance Evaluation Corporation (SPEC). All rights reserved. The stated results are published as of May 12, 2017; see spec.org.

“ NCAR requires an increasingly more advanced system. For example, doubling the resolution of a weather system requires a tenfold increase of compute power”

Anke Kamrath - Acting Director of CISL at NCAR

“Cheyenne” SupercomputerNCAR – National Center for Atmospheric Research

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Key features– 5.34-petaflop SGI ICE XA Cluster with Intel

“Broadwell” processors– More than 4,000 compute nodes– 313 terabytes (TB) of total memory– EDR InfiniBand high-speed interconnect– Partial 9D Enhanced Hypercube interconnect

topology

Cheyenne is providing– Leading-edge performance for researchers studying climate

change, severe weather, geomagnetic storms, seismic activity, air quality, wildfires, etc.

– Groundwork to scientists for improved predictions– hour-by-hour risk associated with thunderstorm

outbreaks – timing of 11-year solar cycle and its potential impacts

on GPS and other sensitive technologies

"Supercomputing is crucial to NASA for enabling breakthroughs across numerous mission-related fields of study," said Piyush Mehrota, chief of the NASA Advanced Supercomputing Division at NASA's Ames Research Center. "Our HEC computing environment continues to grow to meet the increasing demands of more than 1,200 scientists and engineers utilizing the facility each year."

“Pleiades” SupercomputerNASA - AMES Research Center

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Key features– 12,000 nodes, 24,000 processors, >240,000 cores– #13 Top500, #9 HPCG– >20 Live Upgrades since 2008– Named for Pleiades cluster (Seven Sisters)

Pleiades is – One of the world’s largest supercomputers– Supporting >1000 scientists across diverse range of

applications– Variety of applications including

– Space Exploration - Kepler Telescope and Astrophysics Modeling

– Space Vehicle Design - CFD – Earth Studies - Ocean current flow

New HPE Apollo 10 Series overview

Delivering entry-level platforms for Deep Learning and HPCHPE Apollo 10 Series

33

Customer benefits

The HPE Apollo 10 Series provide accelerated Compute in a dense, air cooled form factor that is ideal for entry-level deep learning and/or HPC workloads.

− Faster and easier deployments – Configured, integrated and tested by HPE

− Easy to Use and manage – Uses industry-standard IPMI 2.0 system management and New HPE Performance Software Suite

− Cost-effective Deep Learning and HPC performance using high Compute density (GPUs/ CPUs)

– Life, earth and space sciences

– Engineering and manufacturing

– National securityLarge, highly-complex,

modeling and simulation

Deep Learning

– Pattern matching of images, text, audio, video

– Video surveillance

– Anomaly detection

– Life sciences

Traditional HPC

Use cases

Optimized for entry level Deep Learning and HPC

Flexible configurations, IT expertise and lower cost solutionsEnable Deep Learning and HPC adoption with HPE Apollo 10 Series

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Optimized industry standard servers supporting latest technology for Deep Learning and HPC Workloads

– Expertise in HPC, Data Management, Visualization, Systems Management and HPDA

– Responsive and flexible support

– Custom solutions – One size does not fit all

– Committed account and technical resource teams

– Air Cooling for standard server environments

– Energy efficiency with dual high-efficiency Power Supplies

– Select the right-sized network topology for cost model

– Integrated IPMI 2.0 Management

– Choice of Compute Accelerators

– Choice of CPU, Memory, Drives, GPU form factor

– Multiple network topologies: Fat Tree, Hypercube and Enhanced Hypercube

– Comprehensive factory integration

– Readily integrated into standard cluster environment

Expertise and resources for operational efficiency

Right-sized Computefor infrastructure efficiency

Flexible configurations tailored to HPC/Deep Learning

In-Memory HPC - (scale up)

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37

38

What do these compute problems have in common?

39

– Challenging to distribute across multiple nodes in an HPC cluster. Want to solve holistically

– Compete for “fat nodes” (with more processors/memory), compounding time and effort to discovery

– Or too big for the node

– If memory is exhausted, simulation fails (hours wasted)

– Use smaller models, reducing accuracy and increasing prototype costs/time to production

….or tasking engineers and scientists to learn and

manage, taking time away from development and

research?

Do you have a dedicated cluster administrator?

40

Small, distributed HPC environments

Solution: HPE In-Memory HPC Solutions

41

HPE Integrity Superdome X

HPE Integrity MC990 X Server

Solve complex, data-intensive problems holistically at

unparalleled scale and with single-system simplicity

– Genomics

– Bioinformatics

– Computer-aided engineering

– Computational chemistry

– Cybersecurity

– Financial risk management

– Fraud detection and prevention

– Real-time, streaming, graph

– Large data visualization

– In-memory databases

… or if you a lack cluster admin

Example use cases

Flexible modularity and extreme scale for your Linux HPC workloads

Re-naming of SGI UV 300– 7th generation in-memory technology

– 1,000s of SGI UV servers deployed in HPC environments

Scales seamlessly– From 4-32 sockets and 1-48TB of cache-coherent shared memory as a single

system

– Up to 1,536 threads

– Intel® Xeon® processor E7-8800/4800 v4 family (4-24 cores; 8/16/32/64GB DIMMs)

– Nvidia GPUs

– MPI, OpenMP; Linux CL management

Unique modular chassis architecture– 4-socket building blocks

– High bandwidth (7.4GB/sec)/low latency (<500ns) HPE NUMAlink® interconnect

Fast I/O– Up to 12 PCIe Gen3 slots per chassis

– 1/10/40Gbe, IB, Omni-Path

– SAS, FC; Multi-Rail LNet for Lustre; NVMe SSD

Mission-critical reliability– Extensive RAS features: redundancy, fabric, MEMlog memory resiliency 42

HPE Integrity MC990 X Server

5U, 4-socket chassis

Scales up to 8 chassis and 32 sockets in a single rack

Meet the most demanding SLAs for large business processing and data analytics workloads

Pittsburgh Supercomputing Center – Bridges HPC system

– Architected by HPE; SDX provides Extreme Shared Memory nodes

Scales seamlessly – From 2-16 sockets and up to 48TB of cache-coherent shared memory as a single

system

– Up to 768 threads

– Intel® Xeon® processor E7-8800 v4 family (4- 24 cores); 32/64/128GB DIMMs

– MPI, OpenMP; HPE Onboard Administrator System Management

HPE BladeSystem Superdome Enclosure Architecture– 2-socket blades; high bandwidth/low-latency sx3000 Xbar Fabric interconnect

– Hard partitions (HPE nPars) provide electrically isolated environments within enclosure

Fast I/O – Up to 8 I/O interconnect bays (1/10/20GbE, IB, FC modules)

– 2 dual-port FlexLOM daughter cards per blade

– 3 PCIe slots per blade

Mission-critical reliability (highest)– Redundancy; unique Error Analysis Engine and ”Firmware First” approach, self

healing, enhanced memory reliability, multi-bit error correction, system diagnostics, iLO

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HPE Integrity Superdome X

Scale-up with up to 82-socket blades

18 U BladeEnclosure

HPE In-Memory HPC Solutions

44

HPE Integrity Superdome X

HPE Integrity MC990 X Server

Solve complex problems holistically at greater scale

Complete more jobs in less time

Free HPC teams from managing clusters to accelerate time to discovery

– Like giant workstations with lightning speed

Get more information

45

Attend these sessions Visit these demos Follow us on Social Media at HPE_HPC

– 12581 – Accelerate HPC innovation with purpose-built solutions

– 12582 – Optimize HPC performance for unique industry applications

– 12583 – Simplify and accelerate your HPC apps with HPC software

– @HPE_HPC is changing the way I think about AI

– #HPEDiscover

Thanks for joining us in Las Vegas

– B12679 – Unleash faster insights for your HPC workloads with more control and agility. Wed 10:30-11:30 Bellini 2101B

– B12759 – Deep learning, avoiding sensory overload at the edge. Thu 09:00-10:00 Bellini 2006

– T12681 – What’s the buzz around artificial intelligence (AI)? Demystifying the AI and deep-learning landscape. Thu 12:00-12:30 Theater 1

Please give me your feedback

–Use the mobile app to complete a session survey 1. Access “My schedule”

2. Click on the session detail page

3. Scroll down to “Feedback”

– If the session is not on your schedule, just find it via the app’s “Session Schedule” menu, click on this session and scroll down to “Feedback”

– If you don’t have it, download the event app today. Go to your phone’s app store and search for “HPE Discover 2017”

–To access the session survey online, go to the Agenda Builder in the event content catalog and click on your session

Thank you for providing your feedback, which helps us enhance content for future events.

46

Session ID: B12680 Speakers: Craig Yamasaki, Bill Dunmire and Marty Poniatowski

Thank youCraig Yamasakicraig_yamasaki@hpe.com

Bill Dunmirebill.dunmire@hpe.com

Marty Poniatowskimarty.poniatowski@hpe.com