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 11110101111000 000000000000 111111 010101 101010 10101010100

PrescriptiveBest Outcomes?

DescriptiveWhat Has Happened?

CognitiveLearn Dynamically

PredictiveWhat Could Happen?


010101010101010111100010011001010111 0000000000010101010100000000000 11110101111000 000000000000 111111 010101 101010 10101010100

OBSERVATION DECISIONINTERPRETATION EVALUATION





ACTIONDATA

How many fraudsduring last month? Per Country ?

Which Transactions will be fraudulent ?

What is the best action in light of potential fraud ? In Natural Language

: « Explain me whythis transaction is

fraudulent ?






- Artificial -Intelligence

- Big Data -

NLP

Robot

KnowledgeBase

Deep LearningMachine Learning010101010101010111100010011001010111

1000101

1000101

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

https://openpowerfoundation.org/blogs/deep-learning-goes-to-the-dogs/

http://vision.stanford.edu/aditya86/ImageNetDogs/

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

https://uk.pinterest.com/pin/197595502370835426/sent/?sender=527906524979412201&invite_code=7fc292525ac44aafa6736bdec95dd1b5

http://www.marksandspencer.com/Speziale-per-una-Womens/b/545829031#ie=UTF8&node=545829031&useParentAsinsInResult=false&sort=-product_site_launch_date&page=3&forceNoKeyword=false&size=12&pf_rd_r=1ST1EKGBHXE7FH296QDX&pf_rd_m=A2BO0OYVBKIQJM&pf_rd_t=101&pf_rd_i=545829031&pf_rd_p=215570647&pf_rd_s=related-items-3


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

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/

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 HPCFirst Custom-Built GPU Accelerator Server with NVLink

2.5x Faster CPU-GPU Data Communication via NVLink

NVLink80 GB/s

GPU

P8

GPU GPU

P8

GPU

PCIe32 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 PublicSafety

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

Decreasein inspection times

Significant

Increasein checkable quantities/ day

Significantly

Decreasedrate 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

https://youtu.be/qYiBYLuW53M


What our offering looks like…

https://www.nutanix.com/wp-content/uploads/2017/05/info_ibm-diagram.svg

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/

http://marketrealist.com/quote-page/vmw/

http://marketrealist.com/quote-page/csco/

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

https://ibm.biz/Bd4uzw


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

Security

Serv

ices

Security

Serv

ices

Container

Systems of Record Systems of Engagement

Bluemix

AIX

RHEL

IBM i

IBM Systems Hybrid Cloud Reference Architecture


Hybrid clouds use casesSoR-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 RecoveryReserve 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

CRMHR

ERPSystems of

engagementSystems 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-premiseOn-premise

AIX

X

LINUX

IBM

i

VPN

Intel

Security

Serv

ices

Security

Serv

ices

Nova

PowerKVMPowerVM

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

Nova

LINUX

A

I

X

X

IBM

i



AIX

X

LINUX

IBM

i

VPN

Baremetal

Intel

Security

Serv

ices

Security

Serv

ices

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 POWER8POWER8



AIX

RHE

LIBM

i

Power & Hybrid Cloud Architecture for PaaS

VPN

Baremetal

IntelSecurity

Serv

ices

Security

Serv

ices

Patterns

Creation

&

DeploymentMiddleware&

SoftwareService

Middleware & SoftwareEngine

Patterns DesignerService

PatternsEngine

UrbanCodeDeploy

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 V1.3.3http://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

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


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)

IBM

Po

we

r S

ys

tem

s

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)

http://www.ibm.com/systems/power/software/aix/versions.html


Processor Technology RoadmapContinued Investment in POWER

2014

12 Cores SMT8 2X DPFP PCIE Gen 3 Coprocessor (CAPI) Enhanced Prefetch

NVLink 1.02X CAPI

2020+

24 Cores New µArchitecture Direct-attach DDR4 Gen4 PCIe CAPI 2.0 OpenCAPI 3.0 NVLink 2.0

650mm2

POWER822 nm

POWER8 w/ NVLink

22 nm

POWER914 nm

659mm2

2016 2017

POWER10

48 Cores New µArchitecture Enhanced Memory OpenCAPI 4.0 Future NVLink

695mm2

Future

POWER11

>48 Cores New µArchitecture 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.”

https://www.itjungle.com/2017/05/08/watson-puts-show-common/


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 - 2017Titan (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/

http://www.nextplatform.com/2016/04/06/inside-future-google-rackspace-power9-system/

http://www.theregister.co.uk/2016/04/07/open_power_summit_power9/

53 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/

http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/


Questions?David Spurway – IBM Power Systems Product Manager

Email: [email protected]

Phone: 07717 892 896

Twitter, LinkedIn, YouTube

mailto:[email protected]

https://twitter.com/d_spurway

https://uk.linkedin.com/in/david-spurway-870869

https://www.youtube.com/channel/UCjE0lqgXKIihG3os0nx_OVQ


Thank you!David Spurway – IBM Power Systems Product Manager

Email: [email protected]

Phone: 07717 892 896

Twitter, LinkedIn, YouTube

mailto:[email protected]

https://twitter.com/d_spurway

https://uk.linkedin.com/in/david-spurway-870869

https://www.youtube.com/channel/UCjE0lqgXKIihG3os0nx_OVQ


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

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• 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.


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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

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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

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IBM Global Financing offerings are provided through IBM Credit Corporation in the United States and other IBM subsidiaries and divisions worldwide

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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

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applicable data for their specific environment.