IBM Power Systems Update 2Q17

© IBM Corporation, 2016
IBM Power Systems Update
9th June 2017
Presented by David Spurway
IBM Power Systems Product Manager
IBM Systems, UK and Ireland

Expose systems
as APIs to
enable
composable
services
IBM Systems | 2
Architects of the future
require IT infrastructure
that can do more than
‘just work’
Servers and storage are no longer
inanimate.
They can understand, reason, and
learn.
Today, they can think.
Outthink status quo.
Think IT infrastructure for the
cognitive era.
Detect
anomalies to
proactively
resolve issues
Move data to
right location
based on usage
patterns
Deliver real-time
insights from
oceans of data

3 © IBM Corporation, 2016
Who is the boss?
Robert Picciano
SVP IBM Cognitive Solutions
IBM Systems
Stefanie Chiras
Vice President, Power Systems Hardware
Offerings

POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics

OpenPOWER drives industry innovation
The OpenPOWER Foundation creates an open ecosystem,
using the POWER Architecture to share expertise, investment, and
server-class intellectual property to serve the evolving needs of customers.
Performance of leading POWER architecture
Broadens the capability and performance of the POWER
platform
Collaboration across multiple thought leaders
Collaborative development model drives collective
thought leadership, simultaneously across multiple
disciplines
Open Development
OpenPOWER enables greater innovation through
both open software and open hardware

OpenPOWER Open Interfaces
OpenPOWER open interfaces enable an unbeatable innovation pace
CAPI
NVLink
40 GB/s
CAPI
16 GB/s
POWER8
Memory
Interface
Control
Server
Class
Memory
DMI
IBM and
Partner Devices
GPU

Augmented intelligence, Artificial Intelligence, Cognitive
driving innovation Faster

My friends at Uni…

From Big Data to AI client journey

OBSERVATION DECISIONINTERPRETATION EVALUATION
010101010101010111100010011001010111
0000000000010101010100000000000 111101011
11000 000000000000 111111 010101 101010
10101010100
Prescriptive
Best Outcomes?
Descriptive
What Has Happened?
Cognitive
Learn Dynamically
Predictive
What Could Happen?

010101010101010111100010011001010111
0000000000010101010100000000000 111101011
11000 000000000000 111111 010101 101010
10101010100
OBSERVATION DECISIONINTERPRETATION EVALUATION
Prescriptive
Best Outcomes?
Descriptive
What Has Happened?
Cognitive
Learn Dynamically
Predictive
What Could Happen?
ACTIONDATA
How many frauds
during last month
? Per Country ?
Which Transactions
will be fraudulent ?
What is the best
action in light of
potential fraud ? In Natural Language
: « Explain me why
this transaction is
fraudulent ?

Prescriptive
Best Outcomes?
Descriptive
What Has Happened?
Cognitive
Learn Dynamically
Predictive
What Could Happen?
- Artificial -
Intelligence
- Big Data -
NLP
Robot
Knowledge
Base
Deep Learning
Machine
Learning010101010101010111100010011001010111
1000101
100010
1
1000101
111010111010
00000000000010101010100000000000
111101011

Hello, Machine Learning - MNIST

Deep Learning Goes to the Dogs
• https://openpowerfoundation.org/blogs/deep-learning-goes-to-the-dogs/
• http://vision.stanford.edu/aditya86/ImageNetDogs/
• The Stanford Dogs dataset contains images of 120 breeds of dogs from
around the world. This dataset has been built using images and annotation
from ImageNet for the task of fine-grained image categorization.
• https://www.youtube.com/watch?v=6ZRuTWpIo4M

My recent buyer’s journey…

Some challenges…
https://uk.pinterest.com/pin/197595502370835426/sent/?sender=5279
06524979412201&invite_code=7fc292525ac44aafa6736bdec95dd1b5
Speziale Floral Lace Fit & Flare Dress
Items in this section are
temporarily out of stock

Where I ended up going…
Petite Clothing
Update your wardrobe with Wallis'
stunning must have petite range.
Designed for women who are 5'3" and
under

Example of Datasets available
http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html

DeepFashion: In-shop Clothes Retrieval
Details
In-shop Clothes Retrieval
Benchmark evaluates the performance of in-
shop Clothes Retrievel. This is a large subset of
DeepFashion, containing large pose and scale
variations. It also has large diversities, large
quantities, and rich annotations, including
• 7,982 number of clothing items;
• 52,712 number of in-shop clothes images,
and ~200,000 cross-pose/scale pairs;
• Each image is annotated by bounding
box, clothing type and pose type.

Gap envisions a future with augmented-reality 'dressing rooms'
https://www.engadget.com/2017/01/30/gap-augmented-reality-dressing-rooms/

Introducing PowerAI:
Get Started Fast with Deep Learning
Enabled by High Performance Computing Infrastructure
Package of Pre-Compiled
Major Deep Learning
Frameworks
Easy to install & get started
with Deep Learning with
Enterprise-Class Support
Optimized for Performance
To Take Advantage of
NVLink

| 26
Introducing IBM Power System S822LC for HPC
First Custom-Built GPU Accelerator Server with NVLink
2.5x Faster CPU-GPU Data
Communication via NVLink
NVLink
80 GB/s
GPU
P8
GPU GPU
P8
GPU
PCIe
32 GB/s
GPU
x86
GPU GPU
x86
GPU
No NVLink between CPU & GPU
for x86 Servers: PCIe Bottleneck
NVIDIA P100 Pascal GPU
POWER8 NVLink Server x86 Servers with PCIe
• Custom-built GPU Accelerator Server
• High-Speed NVLink Connections between
CPUs & GPUs and among GPUs
• Features novel NVIDIA P100 Pascal GPU
accelerator

Deep Learning – Example Industries
Automotive and
Transportation
Security and Public
Safety
Consumer Web,
Mobile, Retail
Medicine and Biology Broadcast, Media and
Entertainment
• Autonomous driving:
• Pedestrian detection
• Accident avoidance
Auto, trucking, heavy
equipment, Tier 1 suppliers
(Hyundai, Toyota,
Komatsu, General Motors,
Volvo)
Titles: Director of
Research, New
Applications,
“autonomous” in title
• Video Surveillance
• Image analysis
• Facial recognition and
detection
Local and national
police, public and
private safety/ security
(ADT, IViz, Pinkerton,
Sentry)
Titles: Head of Analytics
• Image tagging
• Speech recognition
• Natural language
• Sentiment analysis
Hyperscale web
companies, large retail
(Google photos,
Twitter, Woolworths,
Aeon)
Titles: VP/Dir
Marketing, Chief
Customer Officer, New
Application Research
• Drug discovery
• Diagnostic assistance
• Cancer cell detection
Pharmaceutical, Medical
equipment, Diagnostic
labs (Takeda, Asian
Pharma, Pfizer)
Titles: Principal
investigators, Dir of
Scientific research
• Captioning
• Search
• Recommendations
• Real time translation
Consumer facing
companies with large
streaming of existing
media, or real time
content
Titles: VP/Dir of
Marketing, Closed
captioning roles, Dir
Translation services

90%
Reduction in
inspection times
Significant
Decrease
in inspection times
Significant
Increase
in checkable quantities/ day
Significantly
Decreased
rate of Safety Risks
• The utility provider inspects its vast
transmission network via hand, with
skilled workers placed into high-risk
environments. This method is costly,
occasionally dangerous, and difficult to
scale.
• To address this and augment worker
productivity, the provider is seeking to
deploy drones to make visual inspections
of transmission towers.
• To automate the image processing, the
provider is using PowerAI to train a
deep learning network to ID potential
maintenance issues captured by the
drones.
• IBM is the only vendor who can provide
the unique supremacy of NVIDIA Tesla
P100 GPUs connected to POWER8
CPUs with NVIDIA NVLink technology
for deep learning.
• IBM’s integrated portfolio of solutions also
allows the provider to not only apply deep
learning but also in-memory DBMS and
high speed storage to store and analyze
various data using Power Systems and
IBM ESS and Spectrum Scale.
Asian Electric
Utility Provider
Maintenance
Inspection

IBM and Nutanix Launch Hyperconverged Initiative to bring
Enterprises into the Cognitive Era
Watch the joint announcement video: https://youtu.be/qYiBYLuW53M

What our offering looks like…
https://www.nutanix.com/wp-content/uploads/2017/05/info_ibm-diagram.svg

What does Nutanix offer?

Nutanix software

Working with the best
• “Nutanix is the best performer in the
leaders’ quarter circle.”
• “Nutanix is closely followed by
SimpliVity, which came a close
second to it in 3Q16.”
• “VMware (VMW), Stratoscale,
Huawei, HPE, and Cisco (CSCO),
though not on the leaders list, were
also strong performers in the period.”
http://marketrealist.com/2017/01/how-hpe-
aims-to-increase-market-share-in-hyper-
converged-space/

What is next?

POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics

Since the IBV 2012 study, the cloud technology has
become much more mainstream
1IBV report: “The Power of Cloud - Driving Business Model Innovation”, 2012. Link: https://ibm.biz/Bd4uzw
Today, 78% says cloud initiatives
are coordinated or fully integrated
In 2012, only 34% said they had
a solid plan in adopting cloud1
10%0% 30%20% 50%40%
Fully integrated as part of an
overall strategic transformation
Multiple related initiatives
within a coordinated program
Ad hoc initiatives with some
coordination among business
group
Ad hoc initiatives with no
coordination among business
group
44%
34%
3%
19%
10%0% 30%20%
We have redesigned our
business process due to cloud
We have redesigned out IT
infrastructure due to cloud
We have adopted or plan to
adopt cloud 21%
7%
6%
How enterprise cloud initiatives are viewed
within respondent’s organization
Level of cloud adoption in respondent’s organization

Though cloud adoption is maturing, nearly half of
workloads are expected to remain on on-premise dedicated
servers
45%
workloads will continue to be on
dedicated servers demanding
executives to be fully cognizant of
what value an optimal combination of
cloud and traditional IT can deliver
Third party hosted cloud
Self hosted private cloud
On-premise dedicated
servers
10%
0%
30%
20%
50%
40%
60%
80%
70%
100%
90%
2 years ago Today 2 years from
now
26%
30%
44%
25%
31%
44%
25%
30%
45%
Percentage distribution of respondent’s IT
infrastructure workloads

What workloads and who is the competition?

Off-premise
On-premise
VPN
SecurityServices
SecurityServices
Container
Systems of Record Systems of Engagement
Bluemix
AIX
RHEL
IBM i
IBM Systems Hybrid Cloud Reference Architecture

Hybrid clouds use cases
SoR-SoE Integration Independent Workloads Portability & Optimization
Application and/or data
are portable and can go
to and from public and
private for improved
optimization
Link new social and mobile systems
to core business systems
Able to be implemented quickly, without infrastructure or application changes
Choose private, public or hybrid
cloud based on independent
workload requirements
More complex deployment, possibly requiring infrastructure or application changes
Disaster Recovery
Reserve for capacity
(bursting)
Backup and Archive
Use private cloud normally and switch to
public cloud to recover files and data
Tap into public cloud
resources dynamically when
a shortage occurs on private cloud
Leverage off-premise resources for
backup and archiving of on-premises
resources
CRM
HR
ERP
Systems of
engagement
Systems of record
PrivatePublic
Traditional
IT
Private
Public
Private Public
Data sync
Private Public
PrivatePublic
Dev/Test Prod
Hybrid Cloud Brokerage & Management Planned or Policy based Management and sourcing across multiple
environments (infrastructure, platform & app)

IBM Power Systems Enterprise Cloud Infrastructure
On-Premises Cloud Hybrid Infrastructure
Complementary Built-in Cloud Deployment Service Options
Transform traditional infrastructure with automation,
self-service and elastic consumption models
Securely extend to Public Cloud with rapid access
to compute services and API integration
• OpenStack-based Cloud Management:
enabling DevOps to Full production
• Open source automation (installation and config.
recipes)
• Flexible elastic private cloud capacity and
consumption models
• Cross Data Center Inventory and Performance Monitoring via
the IBM Cloud
• Manage VMs across on and off-premises clouds with a
single pane of glass (e.g., VMware vRealize)
• Securely connect traditional workloads with cloud-
native apps (Power & API Connect, BlueMix)
• Optional DR as a Service (GDR for Power)
• Free access and capacity flexibility with SoftLayer
- Free SoftLayer starter pack (12 server months)
- Flexibility to run capacity On Premises or in SoftLayer
• Design for Cloud Provisioning and Automation
• Build for Infrastructure as a Service
• Build for Cloud Capacity Pools across Data Centers
• Design for Hybrid Cloud with BlueMix
• Deliver with automation for DevOps
• Deliver with Database as a Service

CCI
(VMs)
Off-premise
On-premise
AIX
X
LINUX
IBM
i
VPN
Intel
SecurityServices
SecurityServices
Nova
PowerKVM
PowerVM
2.5
1.3
Novalink
HMC
Pre-POWER8
Nova Partition
OpenStack
Services
Nova API
Nova Core
POWER8
Power & Hybrid Cloud Architecture for IaaS with PowerVC & IBM Cloud Orchestrator
POWER8
PowerVM
LINUX
Baremetal
Intel
PowerKVM
Nov
a
LINUX
A
I
X
IBM
i

Off-premiseOn-premise
AIX
X
LINUX
IBM
i
VPN
Baremetal
Intel
SecurityServices
SecurityServices
IBM PowerVC Cloud
Edition (openstack
liberty)
PowerVM
Power & Hybrid Cloud Architecture for IaaS with Openstack
Novalink
Nova
Partition
OpenStack
Services
Nova API
Nova Core
PowerKVM
Self Service Catalog Metering
Multitenancy
PowerVM
HMC
Nova
PowerKVM
LINUX
AIX
X
IBM
i
LINUX
Pre-POWER8 POWER8
POWER8

Off-premiseOn-premise
AIX
RHE
L
IBM
i
Power & Hybrid Cloud Architecture for PaaS
VPN
Baremetal
Intel
SecurityServices
SecurityServices
Patterns
Creation
&
Deployment
Middleware&
Software
Service
Middleware &
Software
Engine
Patterns
Designer
Service
Patterns
Engine
UrbanCode
Deploy
Power
KVM
CCI
(VMs)
Intel
Novalink
Nova
Partition
OpenStack
Services
Nova API
Nova Core
Power
KVM

IBM Power Systems improves private cloud management
with IBM PowerVC V1.3.3
http://www-
01.ibm.com/common/ssi/ShowDoc.wss?docURL=/common/ssi/rep_ca/8/877/ENUSZP17-
0038/index.html&lang=en&request_locale=en
IBM® PowerVC is an advanced virtualization management offering for IBM Power Systems™ servers based on OpenStack
technology. Improved features in PowerVC V1.3.3 include support for the following:
• Cloud self-service improvements that provide:
– A new user interface for self-service policy management
– Email alerts to administrators for provisioning requests
– Enhanced metering that provides better data for chargeback of cloud tenants
• Project-level quota support to define finer control over tenants' resource usage
• Management of PowerVM®-based, software-defined networking configurations that simplifies and accelerates private
cloud deployments
• Storage improvements, including Brocade virtual fabric support
• New reference architecture to enable highly available configurations for the PowerVC management server
• Dynamic Resource Optimizer, which can now balance Enterprise Pool mobile memory for NovaLink configurations

POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics

Power S814 Power S824
Power S822
Power S812L Power
S822L
Scale-out Systems (1 & 2 sockets)
IBMPowerSystems
Enterprise Systems (4+ sockets)
Power E880CPower E870C
Power E850C
Power S824L
Power Systems Range
Operating Systems
or
Hypervisors Management

New AIX website
• www.ibm.com/systems/power/software/aix/versions.html
• AIX Enterprise Edition
–IBM Cloud PowerVC Manager
–IBM PowerSC
–IBM Tivoli Monitoring
–IBM BigFix Lifecycle
–AIX Dynamic System Optimizer (AIX 7.1 only as including in AIX 7.2 Standard Edition)

Processor Technology Roadmap
Continued Investment in POWER
2014
 12 Cores
 SMT8
 2X DPFP
 PCIE Gen 3
 Coprocessor (CAPI)
 Enhanced Prefetch
 NVLink 1.0
 2X CAPI
2020+
 24 Cores
 New µArchitecture
 Direct-attach DDR4
 Gen4 PCIe
 CAPI 2.0
 OpenCAPI 3.0
 NVLink 2.0
650mm2
POWER8
22 nm
POWER8
w/ NVLink
22 nm
POWER9
14 nm
659mm2
2016 2017
POWER10
 48 Cores
 Enhanced Memory
 OpenCAPI 4.0
 Future NVLink
695mm2
Future
POWER11
 >48 Cores
 2x SIMD width
 Future NVLINK
 Future OpenCAPI

Watson Puts On A Show At COMMON
• From Therese Eaton’s Pick ‘n’ Mix
• https://www.itjungle.com/2017/05/08/
watson-puts-show-common/
• “…mentioning the introduction of
Power9 servers would come late in
2017, with IBM i versions unavailable
until early 2018.”

IBM, Mellanox, and NVIDIA awarded
$325M U.S. Department of Energy’s Super Computer bids
Two super computers for Oak Ridge
and Lawrence Livermore Labs in 2017. Sequoia (LLNL)
2012 - 2017
Mira (ANL)
2012 - 2017
Titan (ORNL)
2012 - 2017
Current DOE Leadership Computers
5x – 10x Higher Application Performance versus Current Systems
>100 PF, 2 GB/core main memory, local NVRAM,
Mellanox EDR 100Gb/s InfiniBand,
IBM POWER CPUs, NVIDIA Tesla GPUs

“ZAIUS”, the next Google machine fueled with IBM POWER9
April 2016, during OpenPOWER Summit 2016, Google annonced a partnership
with Rackspace to develop a new server plateform, based on IBM POWER9,
code-named ZAIUS.
More information:
http://www.nextplatform.com/2016/04/06/inside-future-
google-rackspace-power9-system/
http://www.theregister.co.uk/2016/04/07/open_power_s
ummit_power9/

Questions?
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube

Thank you!
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube

Trademarks and notes
IBM Corporation 2015
• IBM, the IBM logo and ibm.com are registered trademarks, and other company, product, or service names may be
trademarks or service marks of International Business Machines Corporation in the United States, other countries, or
both. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at
www.ibm.com/legal/copytrade.shtml
• Other company, product, and service names may be trademarks or service marks of others.
• References in this publication to IBM products or services do not imply that IBM intends to make them available in all
countries in which IBM operates.
• IBM and IBM Credit LLC do not, nor intend to, offer or provide accounting, tax or legal advice to clients. Clients
should consult with their own financial, tax and legal advisors. Any tax or accounting treatment decisions made by or
on behalf of the client are the sole responsibility of the customer.
• IBM Global Financing offerings are provided through IBM Credit LLC in the United States, IBM Canada Ltd. in
Canada, and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates
and availability are based on a client’s credit rating, financing terms, offering type, equipment type and options, and
may vary by country. Some offerings are not available in certain countries. Other restrictions may apply. Rates and
offerings are subject to change, extension or withdrawal without notice.

Special notices
This document was developed for IBM offerings in the United States as of the date of publication. IBM may not make these offerings available in
other countries, and the information is subject to change without notice. Consult your local IBM business contact for information on the IBM offerings
available in your area.
Information in this document concerning non-IBM products was obtained from the suppliers of these products or other public sources. Questions on
the capabilities of non-IBM products should be addressed to the suppliers of those products.
IBM may have patents or pending patent applications covering subject matter in this document. The furnishing of this document does not give you
any license to these patents. Send license inquires, in writing, to IBM Director of Licensing, IBM Corporation, New Castle Drive, Armonk, NY 10504-
1785 USA.
All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
The information contained in this document has not been submitted to any formal IBM test and is provided "AS IS" with no warranties or guarantees
either expressed or implied.
All examples cited or described in this document are presented as illustrations of the manner in which some IBM products can be used and the
results that may be achieved. Actual environmental costs and performance characteristics will vary depending on individual client configurations and
conditions.
IBM Global Financing offerings are provided through IBM Credit Corporation in the United States and other IBM subsidiaries and divisions worldwide
to qualified commercial and government clients. Rates are based on a client's credit rating, financing terms, offering type, equipment type and
options, and may vary by country. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice.
IBM is not responsible for printing errors in this document that result in pricing or information inaccuracies.
All prices shown are IBM's United States suggested list prices and are subject to change without notice; reseller prices may vary.
IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply.
Any performance data contained in this document was determined in a controlled environment. Actual results may vary significantly and are
dependent on many factors including system hardware configuration and software design and configuration. Some measurements quoted in this
document may have been made on development-level systems. There is no guarantee these measurements will be the same on generally-available
systems. Some measurements quoted in this document may have been estimated through extrapolation. Users of this document should verify the
applicable data for their specific environment.

IBM Power Systems Update 2Q17

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