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© IBM Corporation, 2016 IBM Power Systems Update 7 th March 2017 Presented by David Spurway IBM Power Systems Product Manager IBM Systems, UK and Ireland

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Page 1: IBM Power Systems Update 1Q17

© IBM Corporation, 2016

IBM Power Systems Update7th March 2017

Presented by David SpurwayIBM Power Systems Product ManagerIBM Systems, UK and Ireland

Page 2: IBM Power Systems Update 1Q17

2 © IBM Corporation, 2016

28th Feb 2017 Announce: Withdraw from Marketing

“Loose parts” POWER7 withdrawals for B & C models (except not 795)• Withdrawal from marketing, not withdrawal from service• POWER7+ (and 795) not included in this 2017 action• Cleaning up ordering structure of older servers … POWER7 and earlier. • Multiple announcement letters planned to be released over the next 3-5 months to handle

quantity of feature codes.

Of interest for POWER7 (model B&C) servers (except 795)• Processor & memory activations -- effective end Oct 2017• Processor & Memory cards – effective end Aug 2017• PCIe I/O drawers – effective end Aug 2017• FYI -- expect PCIe adapters, Disk/SSD features in next announcement letters

Page 3: IBM Power Systems Update 1Q17

3 © IBM Corporation, 2016

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)

Page 4: IBM Power Systems Update 1Q17

4 © IBM Corporation, 2016

AIX Enterprise Editions v1.2 (June 2016)

AIX 7.2 EE v1.2AIX 7.2 Standard Edition

IBM Cloud Manager with OpenStackPowerVC StandardPowerSC Standard

IBM Tivoli Monitoring IBM BigFix Patch

IBM Cloud PowerVC Manager

AIX 7.1 EE v1.2AIX 7.1 Standard Edition

IBM Cloud Manager with OpenStackPowerVC StandardPowerSC Standard

AIX Dynamic Systems Optimizer IBM Tivoli Monitoring

IBM BigFix PatchIBM Cloud PowerVC Manager

AIX 7.2 EE v1.1AIX 7.2 Standard Edition

IBM Cloud Manager with OpenStackPowerVC StandardPowerSC Standard

IBM Tivoli Monitoring IBM BigFix Patch

AIX 7.1 EE v1.1AIX 7.1 Standard Edition

IBM Cloud Manager with OpenStackPowerVC StandardPowerSC Standard

AIX Dynamic Systems Optimizer IBM Tivoli Monitoring

IBM BigFix Patch

Page 5: IBM Power Systems Update 1Q17

5 © IBM Corporation, 2016

Cloud Management for Power Systems

5

Incr

easi

ng B

usin

ess

Opt

ions

Increasing Automation and Function

Page 6: IBM Power Systems Update 1Q17

6 © IBM Corporation, 2016

Our teams had a very engineering-centric culture.

We wanted to shift that culture towards a focus on users’ outcomes

Charlie HillCTO, IBM Design

Page 7: IBM Power Systems Update 1Q17

7 © IBM Corporation, 2016

There’s one key toour future growth:the client experience.

Ginni Rometty

CEO, IBM

Page 8: IBM Power Systems Update 1Q17

8 © IBM Corporation, 2016

Page 9: IBM Power Systems Update 1Q17

Bias towards action

• Everything is a prototype.

• Learn from solutions in the field and adapt.

• Empowered to rethink solutions even to the oldest problems.

Page 10: IBM Power Systems Update 1Q17

10 © IBM Corporation, 2016

Building Minimal Viable Products

Source: blog.fastmonkeys.com

Page 11: IBM Power Systems Update 1Q17

11 © IBM Corporation, 2016

Current Project:Better Understand the

Power Patching Process40+ Customer Interviews

International Customers – Big & Small

Page 12: IBM Power Systems Update 1Q17

12 © IBM Corporation, 2016

Page 13: IBM Power Systems Update 1Q17

13 © IBM Corporation, 2016

Page 14: IBM Power Systems Update 1Q17

14 © IBM Corporation, 2016

Page 15: IBM Power Systems Update 1Q17

Organizations struggle with key technology challenges supporting insights, change, and speed

Understanding Data

Digital intelligence is a primary competitive advantage

Yet 88% of all data today is unstructured and invisible to computers1

“The next wave will be all about connecting dots and correlating data to produce actionable insights.” –CIO, Retail, United States2

Keeping Pace

Superior technology delivers superior performance

Yet the pace of innovation (72%) is now the top CEO challenge, even greater than security (66%)3

“Disruptive technologies could change the fundamentals of our business” –Kazuo Hirai, CEO, Sony Corporation, Japan4

Accelerating Time-to-Market

Sustainable success is now measured in days, not weeks

Outperforming CxOs are 95% more likely to focus on being first to market4

“We’ve been charged with speeding up time-to-market, both for the products we sell and for our own internal tools.”⎯Kalev Reiljan, CIO, TeliaSonera, Finland2

Source: 1) IBM ResearchSource: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO PerspectiveSource: 3) Fortune, Myth-busting the Fortune 500, 2015Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015

IBM Systems | 15

Page 16: IBM Power Systems Update 1Q17

Expose systems as

APIs to enable composable

services

IBM Systems | 16

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 thecognitive era.

Detect anomalies to proactively

resolve issues

Move data to right location

based on usage

patterns

Deliver real-time insights

from oceans of data

Page 17: IBM Power Systems Update 1Q17

17 © IBM Corporation, 2016

A surprise trip to Lisbon

An Insurance Storyhttps://www.linkedin.com/pulse/surprise-trip-lisbon-insurance-story-david-spurway

Page 18: IBM Power Systems Update 1Q17

18 © IBM Corporation, 2016

I find myself in Lisbon…

• My Parents-In-Law set off on a cruise, but Mother-In-Law is taken ill

• Hospitalised in Lisbon

• Insurance company take 12 days to validate cover

• Father-In-Law is the real concern

• Twitter storm

Page 19: IBM Power Systems Update 1Q17

19 © IBM Corporation, 2016

Insurance industry - Capturing hearts, minds and market share

How connected insurers are improving customer retention

http://www-935.ibm.com/services/us/gbs/thoughtleadership/insuranceretention/

Page 20: IBM Power Systems Update 1Q17

20 © IBM Corporation, 2016

Insurance is a product based on trust, for which perception matters.

Page 21: IBM Power Systems Update 1Q17

21 © IBM Corporation, 2016

Mix in some Bluemix and Watson…

Page 22: IBM Power Systems Update 1Q17

22 © IBM Corporation, 2016

Unstructured Facebook entries in, Geo Political Entities out!

http://ibmlaser.mybluemix.net/siredemo.html

Page 23: IBM Power Systems Update 1Q17

23 © IBM Corporation, 2016

Who & Where: Find out with Bluemix Geospatial Analytics

https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/

Page 24: IBM Power Systems Update 1Q17

24 © IBM Corporation, 2016

But what does this have to do with IBM Power?

• Details of customers are on IBM Power Systems–Customer Details–Declared Medical History

• Location, Sentiment, etc. are on Social Media

• Other data could be available through B2B APIs

• Hybrid Cloud solution could differentiate from competition

Page 25: IBM Power Systems Update 1Q17

25 © IBM Corporation, 2016

POWER8 Announcement

Optimized for Data

Open Innovation Platform

Superior CloudEconomics

Page 26: IBM Power Systems Update 1Q17

26 © IBM Corporation, 2016

Off-premise

On-premise

VPN

Sec

urity

Ser

vice

s

Sec

urity

Ser

vice

s

Container

Systems of Record Systems of EngagementBluemix

AIXRHEL

IBM i

IBM Systems Hybrid Cloud Reference Architecture

Page 27: IBM Power Systems Update 1Q17

27 © IBM Corporation, 2016

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

Page 28: IBM Power Systems Update 1Q17

28 © IBM Corporation, 2016

CCI (VMs)

Off-premiseOn-premise

AIX

X

LINUXIBM i

VPN

Intel

Sec

urity

Ser

vice

s

Sec

urity

Ser

vice

s

Nova

PowerKVMPowerVM

2.5

1.3

Novalink

HMC

Pre-POWER8

Nova PartitionOpenStack ServicesNova API

Nova Core

POWER8

Power & Hybrid Cloud Architecture for IaaS with PowerVC & IBM Cloud Orchestrator

POWER8

PowerVM

LINUX

Baremetal

Intel

PowerKVM

Nova

LINUX

AIX

X

IBM i

Page 29: IBM Power Systems Update 1Q17

29 © IBM Corporation, 2016

Off-premiseOn-premise

AIX

X

LINUXIBM i

VPN

Baremetal

Intel

Sec

urity

Ser

vice

s

Sec

urity

Ser

vice

s

IBM PowerVC Cloud Edition (openstack liberty)

PowerVM

Power & Hybrid Cloud Architecture for IaaS with Openstack

Novalink

Nova PartitionOpenStack ServicesNova API

Nova Core

PowerKVM

Self Service Catalog Metering

Multitenancy

PowerVM

HMC

Nova

PowerKVM

LINUXAIX

X

IBM i

LINUX

Pre-POWER8 POWER8POWER8

Page 30: IBM Power Systems Update 1Q17

30 © IBM Corporation, 2016

Off-premiseOn-premise

AIX

RHEL IBM

i

Power & Hybrid Cloud Architecture for PaaS

VPN

Baremetal IntelS

ecur

ity S

ervi

ces

Sec

urity

Ser

vice

s

Patterns Creation

&Deployment

Middleware& SoftwareService

Middleware & SoftwareEngine

Patterns DesignerService

PatternsEngine

UrbanCode Deploy

PowerKVM

CCI (VMs)

Intel

Novalink

Nova Partition

OpenStack Services

Nova APINova Core

PowerKVM

Page 31: IBM Power Systems Update 1Q17

31 © IBM Corporation, 2016

POWER8 Overview

Optimized for Data

Open Innovation Platform

Superior CloudEconomics

Page 32: IBM Power Systems Update 1Q17

32 © IBM Corporation, 2016

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 leadersCollaborative development model drives collective thought leadership, simultaneously across multiple disciplines

Open DevelopmentOpenPOWER enables greater innovation through both open software and open hardware

Page 33: IBM Power Systems Update 1Q17

33 © IBM Corporation, 2016

OpenPOWER Open Interfaces

OpenPOWER open interfaces enable an unbeatable innovation pace

CAPI

NVLink40 GB/s

CAPI16 GB/s

POWER8Memory Interface Control

ServerClass

Memory

DMI

IBM andPartner Devices

GPU

Page 34: IBM Power Systems Update 1Q17

34 © IBM Corporation, 2016

Dense Virtualisation Big Data Technical

OpenPOWER Linux Cluster (LC) Systems (new)

S821LCUp to 2 socket, 1U, Linux

8, 10, 16 or 20 coresUp to 512 GB memoryUp to 38 TB Storage1 NVIDIA K80 GPU

4 Available PCI Slots

S822LC for Big DataUp to 2 socket, 2U, Linux

8, 10, 16 or 20 coresUp to 512 GB memoryUp to 96 TB Storage2 NVIDIA K80 GPUs5 Available PCI slots

S822LC for HPC2 socket, 2U, Linux

NVLink16 or 20 cores

Up to 1 TB memory2 Disks

2 or 4 NVIDIA P100 GPUs3 Available PCI Slots

Page 35: IBM Power Systems Update 1Q17

35 © IBM Corporation, 2016

OpenPOWER Linux Cluster (LC) Systems

S821LCMTM: 8001-12C

Code Name: Stratton

S822LC for Big DataMTM: 8001-22C

Code Name: Briggs

S822LC for HPCMTM: 8335-GTB

Code Name: Minsky (was Garrison)

Power S812LCMTM: 8348-21C

Code Name: Habanero

Power S822LCMTM: 8335-GCA

Code Name: Firestone

Power S822LCMTM: 8335-GTA

Code Name: Firestone

Page 36: IBM Power Systems Update 1Q17

36 © IBM Corporation, 2016

MongoDB on POWER8

62%reduction in HW costs

and maintenance

30%reduction in SW licensing cost with fewer systems

running MongoDB

• Assumptions: • 7xPower S822LC for Big Data/20c servers with KVM (40% utilization) have equivalent performance as

10xHPDL380/E5-2690 v4/28c servers with KVM (40% utilization)• Discounts: PowerS822LC – 35%, HP DL380 – 35%, MongoDB – 0%, OracleEE – 70%• Based on IBM internal testing of single system and OS image running Yahoo Cloud Services Benchmark (YCSB) 0.6.0,

1M record workload at 50/50 read/write factor. Results valid as of 8/24/16. Conducted under laboratory condition, individual result can vary based on workload size, use of storage subsystems & other conditions.

37%3-year Cost Reduction

$200K3-year Savings per 10 servers

Page 37: IBM Power Systems Update 1Q17

37 © IBM Corporation, 2016

MongoDB running on POWER8 Price-Performance Guarantee - UK

• • •

IBM Power Systems guarantees the S822LC for Big Data system built with POWER8 delivers at least a 1.8 X price-performance advantage versus x86 based servers when running a customer application/workload based on MongoDB.

1.8 X price-performance means that the customer's documented throughput performance on the S822LC POWER8 divided by the price of the system will be at least 1.8 times the customer's documented throughput performance on the comparably configured x86 based system divided by the price of the such x86 system.

EX: If transactions per second on the S822LC are 18,000 vs. 10,000 on the x86 based system, while the price of the S822LC is £10,000, and the price of the x86 based system is £10,000, then the Throughput Performance Per Price would be exactly 1.8 times that of such x86 based system and the guarantee would be met.

Notes:1. Client’s POWER8 Machine and the x86 Machine must be running at similar utilisation rates.2. Client’s POWER8 Machine’s system performance cannot be constrained by I/O subsystem. Specifically, the I/O subsystem on the POWER8 Machines must achieve greater than or equal I/O bandwidth and operations per second than the x86 Machine.3. Client’s POWER8 Machine’s physical memory must be the same as or greater than the physical memory on the x86 Machine.4. Client is responsible for demonstrating comparable representative workload between the POWER8 Machine and the x86 based system through the use of the IBM recommended tools and comparable tools on x86 systems.5. This guarantee applies only to server sales in UK only.6. 1.8x guarantee is based on list price for the x86 based server (Dell, Cisco, HP or Lenovo) and the list price for the IBM S822LC for Big Data.

The IBM Power S822LC for Big Data server (20-core/2.92 GHz) must be purchased from IBM or an authorised IBM Business Partner prior to March 31, 2017. The guarantee period is valid for 90 days from the date of purchase. The x86 based systems must be comparably configured branded servers from Cisco, Dell, HP, or Lenovo and the customer is responsible for all MongoDB licences.

1.8 X throughput performance per price means that the customer's documented throughput performance on the S822LC POWER8 system based on either queries, operations or transactions per second divided by the price of the such system will be at least 1.8 times that of the customer's same documented throughput performance on the x86 based system divided by the price of such comparable x86 based system.

Remediation: IBM will provide additional performance optimisation and tuning services consistent with IBM Best Practices, at no charge. If unable to reach guaranteed level of price-performance, IBM will provide additional equally configured systems to those already purchased to reach the guaranteed level of price-performance.

Page 38: IBM Power Systems Update 1Q17

38 © IBM Corporation, 2016

Power Systems and NVIDIA GPU

NVIDIA GPU NVIDIA GPU with NVLink

2015

Power Chip Power Chipwith NVLink

2016

80 GB/sPeak

PCIe x1632 GB/s

Page 39: IBM Power Systems Update 1Q17

39 © IBM Corporation, 2016

Augmented intelligence, Artificial Intelligence, Cognitive

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40 © IBM Corporation, 2016

Page 41: IBM Power Systems Update 1Q17

41 © IBM Corporation, 2016

Introducing PowerAI: Get Started Fast with Deep Learning

Package of Pre-Compiled Major Deep Learning

Frameworks

Package of Pre-Compiled Major Deep Learning

Frameworks

Package of Pre-Compiled Major Deep Learning

Frameworks

Enabled by High Performance Computing Infrastructure

Page 42: IBM Power Systems Update 1Q17

42 © IBM Corporation, 2016

PowerAI takes advantage of NVLink between POWER8 & P100 to increase system bandwidth

• NVLink between CPUs and GPUs enables fast memory access to large data sets in system memory

• Two NVLink connections between each GPU and CPU-GPU leads to faster data exchange

P100GPU

POWER8CPU

GPUMemory

System Memory

P100GPU

80 GB/s

GPUMemory

NVLink

115 GB/s

P100GPU

POWER8CPU

GPUMemory

System Memory

P100GPU

80 GB/s

GPUMemory

NVLink

115 GB/s

Page 43: IBM Power Systems Update 1Q17

43 © IBM Corporation, 2016

Google, Rackspace, and GPUs: OH MY! See what you missed at OpenPOWER Summit

http://openpowerfoundation.org/blogs/google-rackspace-gpus-openpower-summit/

Page 44: IBM Power Systems Update 1Q17

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

Page 45: IBM Power Systems Update 1Q17

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

Page 46: IBM Power Systems Update 1Q17

© IBM Corporation, 2016

Questions?David Spurway – IBM Power Systems Product ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube

Page 47: IBM Power Systems Update 1Q17

47 © IBM Corporation, 2016

Page 48: IBM Power Systems Update 1Q17

© IBM Corporation, 2016

Thank you!David Spurway – IBM Power Systems Product ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube