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© IBM Corporation, 2016 IBM Power Systems Update 19 th January 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 Update19th January 2017

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

Page 2: 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 | 2

Page 3: IBM Power Systems Update 1Q17

Expose systems as

APIs to enable composable

services

IBM Systems | 3

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 4: IBM Power Systems Update 1Q17

4 © IBM Corporation, 2016

A surprise trip to Lisbon

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

Page 5: IBM Power Systems Update 1Q17

5 © 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 6: IBM Power Systems Update 1Q17

6 © 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 7: IBM Power Systems Update 1Q17

7 © IBM Corporation, 2016

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

Page 8: IBM Power Systems Update 1Q17

8 © IBM Corporation, 2016

Mix in some Bluemix and Watson…

Page 9: IBM Power Systems Update 1Q17

9 © IBM Corporation, 2016

Unstructured Facebook entries in, Geo Political Entities out!

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

Page 10: IBM Power Systems Update 1Q17

10 © IBM Corporation, 2016

Who & Where: Find out with Bluemix Geospatial Analytics

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

Page 11: IBM Power Systems Update 1Q17

11 © 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 12: IBM Power Systems Update 1Q17

13 © IBM Corporation, 2016

POWER8 Overview

Optimized for Data

Open Innovation Platform

Superior CloudEconomics

Page 13: IBM Power Systems Update 1Q17

14 © 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 14: IBM Power Systems Update 1Q17

15 © 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 15: IBM Power Systems Update 1Q17

16 © 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 16: IBM Power Systems Update 1Q17

17 © 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 17: IBM Power Systems Update 1Q17

18 © 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 18: IBM Power Systems Update 1Q17

20 © IBM Corporation, 2016

POWER8 Overview

Optimized for Data

Open Innovation Platform

Superior CloudEconomics

Page 19: IBM Power Systems Update 1Q17

21 © IBM Corporation, 2016

Chip Bandwidth and Threading

2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included, Updated 6/1/2015

Chip Family

MemoryBandwidthper Socket

Peak I/OBandwidthper Socket

Threadsper Core

Intel 26xx-V3 (2S, 8+ Cores) 59 – 68 GB/s 80 GB/s 1, 2

Intel 48xx-V3 (4S, 8+ Cores) 102 GB/s 64 GB/s 1, 2

Intel 88xx-V3 (8S, 8+ Cores) 102 GB/s 64 GB/s 1, 2

POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8

POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8

Page 20: IBM Power Systems Update 1Q17

22 © IBM Corporation, 2016

Single Thread Performance is Increasing

Performance measured in rperfs

+14 % +28%

POWER7 7403.7 GHz8 CoresSMT1

56

POWER7+ 7404.2 GHz8 CoresSMT1

64

POWER8 S8244.1 GHz8 CoresSMT1

82

Page 21: IBM Power Systems Update 1Q17

23 © IBM Corporation, 2016

POWER8 vs. Haswell Performance

Benchmark

IntelE5 V3

HaswellBest

Results POWER8Best

Results

PerCore Ratio

SAP SD 2-Tier ERP 6 Dell PowerEdge R730E5-2699 v3, 36 Core 16,500 IBM E870

80 Core 79,750 2.2 X

SPECjbb2013 Lenovo Flex x240E5-2699 v3, 36 Core 245,178 IBM E870

80 Core 1,299,150 2.4 X

SPECint_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 1,400 IBM E880

64 Core 5,400 2.1 X

SPECfp_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 942 IBM E880

64 Core 4,470 2.5 X

Oracle e-BS 12.1.3Extra Large Payroll

Cisco UCS C240 M4E5-2697 v3, 28 Core 1,125,281 IBM S824

12 Core 1,090,909 2.3 X

IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour: 8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result valid as of November 15, 2015. Source: http://www.sap.com/benchmark . Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36 cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033.

SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results

SPECcpu2006 results are submitted as of 11/15/2015. For more information go to http://www.specbench.org/cpu2006/results All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 11/15/2015. For more information go to http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html

Page 22: IBM Power Systems Update 1Q17

24 © IBM Corporation, 2016

Power S814 Power S824

Power S822

Power S812L

Power S822L

Scale-out Systems (1 & 2 sockets)

IBM

Pow

er S

yste

ms

Enterprise Systems (4+ sockets)

Power E880CPower E870CPower E850C

Power S824L

Power Systems Range

Operating Systems

or

Hypervisors Management

Page 23: IBM Power Systems Update 1Q17

25 © IBM Corporation, 2016

AIX 7.2 Server Based Flash Caching

AIX Flash Cache Engine

Workload

Flash / SSD

AIX LPAR

SAN LUN LUN LUN

I/O APIs (File System, Device, etc.)

• Server caches SAN data in server attached storage

(SSDs, SAS attached drawer, FC connected flash, etc.)

• Cache is read-only to service application reads. Writes go straight through to the SAN back-end.

• Potential benefits are performance (more transactions, reduced response time), and/or improved scale and efficiency of SAN infrastructure via SAN off-load

• For workloads that use RAM as a cache for I/O, smaller RAM caches maybe be possible with a flash based cache

• Provides storage vendor agnostic I/O caching solution integrated into AIX• Cache is transparent to workloads and requires no application code changes• Supports virtualization features such as Live Partition Mobility

• LPM support requires VIOS 2.2.4 (Dec 2015)

• For more Information - https://ibm.biz/AIX72_Flash_Cache

IBM, EMC, Hitachi, etc.

Also available on AIX 7.1 TL4/SP2 (May 2016)

Page 24: IBM Power Systems Update 1Q17

26 © IBM Corporation, 2016

SAN

cachedisk0 cachedisk2

Cache Pool(SSD disks)

hdisk1 hdisk2 hdisk3 hdisk8

SSD

LPAR1

Virtualized: Flash LUN managed by VIOS

Cachemanagement

VIOS

LPAR2

Cache Engine

Cache Engine

Cache partition 1 Cache partition 2

LPM Capable

AIX 7.2 Flash Cache Configurations

* Requires VIOS 2.2.4 (Dec 2015)

Dedicated: Dedicated flash LUN

SAN

Cache Pool(SSD disks)

hdisk1 hdisk2 hdisk3 hdisk8

Cache Partition

SSD

LPAR

CM / CacheEngine

Page 25: IBM Power Systems Update 1Q17

27 © IBM Corporation, 2016

OLTP with 8 cores – 10 users

Flash Caching Example

AIX Flash Cache Engine

Workload

Flash / SSD

AIX LPAR

SAN LUN LUN LUN

I/O APIs (File System, Device, ..)

IBM, EMC, Hitachi, etc.

IBM, EMC, Hitachi, etc.

Flash caching 33% of database provides 77% TPM improvement

IBM Montpellier Customer Benchmarking Center

Page 26: IBM Power Systems Update 1Q17

28 © IBM Corporation, 2016

AIX 7.2 Next Generation AIX Live Update Technology

• Project Requirements– Use existing maintenance model and administrative tools (NIM, geninstall)– Start with live AIX kernel replacement for i-fixes, then in future extend to SPs and TLs– Long term goal is to provide non-disruptive updates for all of AIX (kernel, commands, and Libs)

Originalrootvg

New rootvg(Alt-disk-install)

VIOS

NPIV /VSCSI

SEA

Original LPAR

Virt. entVSCSI

Surrogate LPAR

Virt. ent

CEC

Originalrootvg mirror

New rootvg(Alt-disk-install)

Original Kernel Updated Kernel

VSCSI

RunningWorkload

RunningWorkload

Live Migration

Page 27: IBM Power Systems Update 1Q17

29 © IBM Corporation, 2016

IBM AIX 7.2 offers new enhancements for reduced downtime, acceleration, and efficient storage utilization• https://www-01.ibm.com/common/ssi/ShowDoc.wss?docURL=/common/ssi/rep_ca/5/877/ENUSZP16-0525/index.html&lang=en&request_locale=en –October 11, 2016–#AIX 7.2 enhancements inc non-disruptive Live Kernal Update for SPs and TLs! Also

LVM thin storage block reclamation

Page 28: IBM Power Systems Update 1Q17

31 © IBM Corporation, 2016

POWER8 Overview

Optimized for Data

Open Innovation Platform

Superior CloudEconomics

Page 29: 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 30: 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 31: IBM Power Systems Update 1Q17

34 © IBM Corporation, 2016

What is CAPI?

FPGA

POWER8 Core

PCIe

POWER8 Processor

OS

App

Memory (Coherent)

AFU

IBM Supplied PSL

Virtual Memory

CA

PP

CAPI (Coherent Accelerator Processor Interface) is a set of IBM innovations in hardware and software that allow an application and it’s accelerated component to share the same virtual address space.

For customers, CAPI enables performance and ease of programming:

• Application to set up data coherently in shared virtual memory and call the accelerator functional unit (AFU)

• AFU to reads and writes data from and to shared virtual memory coherently across PCIe and communicating with the application

• AFU to coherently cache data in the PSL cache for quick AFU access

Page 32: IBM Power Systems Update 1Q17

35 © 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 33: IBM Power Systems Update 1Q17

36 © IBM Corporation, 2016

Hadoop / Spark Commercial Technical

OpenPOWER Linux Cluster (LC) Systems (existing)

S812LC1 socket, 2U, Linux

8 or 10 coresUp to 1 TB memory

Up to 112 TB Storage4 Available PCI Slots

KVM / Bare Metal

S822LC – GCA2 socket, 2U, Linux

16 or 20 coresUp to 1 TB memory

2 Disks5 Available PCI slots

KVM / Bare Metal

S822LC – GTA2 socket, 2U, Linux

16 or 20 coresUp to 1 TB memory

2 Disks2 NVIDIA K80 GPUs3 Available PCI Slots

Bare Metal

Page 34: IBM Power Systems Update 1Q17

37 © 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

38 © 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

39 © IBM Corporation, 2016

Augmented intelligence, Artificial Intelligence, Cognitive

Page 37: IBM Power Systems Update 1Q17

40 © IBM Corporation, 2016

Page 38: 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 39: 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 40: 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 41: IBM Power Systems Update 1Q17

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

Page 42: IBM Power Systems Update 1Q17

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

Page 43: IBM Power Systems Update 1Q17

© IBM Corporation, 2016

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

Page 44: IBM Power Systems Update 1Q17

47 © IBM Corporation, 2016

Page 45: IBM Power Systems Update 1Q17

© IBM Corporation, 2016

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