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© IBM Corporation, 2016
IBM Power Systems Update
7th March 2017
Presented by David Spurway
IBM Power Systems Product Manager
IBM Systems, UK and Ireland
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
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)
4 © IBM Corporation, 2016
AIX Enterprise Editions v1.2 (June 2016)
AIX 7.2 EE v1.2
AIX 7.2 Standard Edition
IBM Cloud Manager with OpenStack
PowerVC Standard
PowerSC Standard
IBM Tivoli Monitoring
IBM BigFix Patch
IBM Cloud PowerVC Manager
AIX 7.1 EE v1.2
AIX 7.1 Standard Edition
IBM Cloud Manager with OpenStack
PowerVC Standard
PowerSC Standard
AIX Dynamic Systems Optimizer
IBM Tivoli Monitoring
IBM BigFix Patch
IBM Cloud PowerVC Manager
AIX 7.2 EE v1.1
AIX 7.2 Standard Edition
IBM Cloud Manager with OpenStack
PowerVC Standard
PowerSC Standard
IBM Tivoli Monitoring
IBM BigFix Patch
AIX 7.1 EE v1.1
AIX 7.1 Standard Edition
IBM Cloud Manager with OpenStack
PowerVC Standard
PowerSC Standard
AIX Dynamic Systems Optimizer
IBM Tivoli Monitoring
IBM BigFix Patch
5 © IBM Corporation, 2016
Cloud Management for Power Systems
5
IncreasingBusinessOptions
Increasing Automation and Function
6 © IBM Corporation, 2016
Ourteamshadavery
engineering-centricculture.
Wewantedtoshiftthat
culturetowardsafocuson
users’outcomes
Charlie Hill
CTO, IBM Design
7 © IBM Corporation, 2016
There’sonekeyto
ourfuturegrowth:
theclientexperience.
Ginni Rometty
CEO, IBM
8 © IBM Corporation, 2016
Bias towards action
• Everything is a prototype.
• Learn from solutions in the
field and adapt.
• Empowered to rethink
solutions even to the
oldest problems.
10 © IBM Corporation, 2016
BuildingMinimal
ViableProducts
Source: blog.fastmonkeys.com
11 © IBM Corporation, 2016
Current Project:
Better Understand the
Power Patching Process
40+ Customer Interviews
International Customers – Big & Small
12 © IBM Corporation, 2016
13 © IBM Corporation, 2016
14 © IBM Corporation, 2016
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 Research
Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective
Source: 3) Fortune, Myth-busting the Fortune 500, 2015
Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015
IBM Systems | 15
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 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
17 © IBM Corporation, 2016
A surprise trip to Lisbon
An Insurance Story
https://www.linkedin.com/pulse/surprise-
trip-lisbon-insurance-story-david-spurway
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
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/
20 © IBM Corporation, 2016
Insurance is a product based on trust, for which perception
matters.
21 © IBM Corporation, 2016
Mix in some Bluemix and Watson…
22 © IBM Corporation, 2016
Unstructured Facebook entries in, Geo Political Entities out!
http://ibmlaser.mybluemix.net/siredemo.html
23 © IBM Corporation, 2016
Who & Where: Find out with Bluemix Geospatial Analytics
https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
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
25 © IBM Corporation, 2016
POWER8 Announcement
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
26 © IBM Corporation, 2016
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
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
28 © IBM Corporation, 2016
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
29 © IBM Corporation, 2016
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
30 © IBM Corporation, 2016
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
31 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
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 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
33 © IBM Corporation, 2016
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
34 © IBM Corporation, 2016
Dense Virtualisation Big Data Technical
OpenPOWER Linux Cluster (LC) Systems (new)
S821LC
Up to 2 socket, 1U, Linux
8, 10, 16 or 20 cores
Up to 512 GB memory
Up to 38 TB Storage
1 NVIDIA K80 GPU
4 Available PCI Slots
S822LC for Big Data
Up to 2 socket, 2U, Linux
8, 10, 16 or 20 cores
Up to 512 GB memory
Up to 96 TB Storage
2 NVIDIA K80 GPUs
5 Available PCI slots
S822LC for HPC
2 socket, 2U, Linux
NVLink
16 or 20 cores
Up to 1 TB memory
2 Disks
2 or 4 NVIDIA P100 GPUs
3 Available PCI Slots
35 © IBM Corporation, 2016
OpenPOWER Linux Cluster (LC) Systems
S821LC
MTM: 8001-12C
Code Name: Stratton
S822LC for Big Data
MTM: 8001-22C
Code Name: Briggs
S822LC for HPC
MTM: 8335-GTB
Code Name: Minsky
(was Garrison)
Power S812LC
MTM: 8348-21C
Code Name: Habanero
Power S822LC
MTM: 8335-GCA
Code Name: Firestone
Power S822LC
MTM: 8335-GTA
Code Name: Firestone
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
$200K
3-year Savings
per 10 servers
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.
38 © IBM Corporation, 2016
Power Systems and NVIDIA GPU
NVIDIA GPU NVIDIA GPU with NVLink
2015
Power Chip Power Chip
with NVLink
2016
80 GB/s
Peak
PCIe x16
32 GB/s
39 © IBM Corporation, 2016
Augmented intelligence, Artificial Intelligence, Cognitive
40 © IBM Corporation, 2016
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
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
P100
GPU
POWER8
CPU
GPU
Memory
System
Memory
P100
GPU
80 GB/s
GPU
Memory
NVLink
115 GB/s
P100
GPU
POWER8
CPU
GPU
Memory
System
Memory
P100
GPU
80 GB/s
GPU
Memory
NVLink
115 GB/s
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/
44 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
45 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
© IBM Corporation, 2016
Questions?
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube
47 © IBM Corporation, 2016
© IBM Corporation, 2016
Thank you!
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube

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IBM Power Systems Update Highlights Key Announcements

  • 1. © IBM Corporation, 2016 IBM Power Systems Update 7th March 2017 Presented by David Spurway IBM Power Systems Product Manager IBM Systems, UK and Ireland
  • 2. 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
  • 3. 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)
  • 4. 4 © IBM Corporation, 2016 AIX Enterprise Editions v1.2 (June 2016) AIX 7.2 EE v1.2 AIX 7.2 Standard Edition IBM Cloud Manager with OpenStack PowerVC Standard PowerSC Standard IBM Tivoli Monitoring IBM BigFix Patch IBM Cloud PowerVC Manager AIX 7.1 EE v1.2 AIX 7.1 Standard Edition IBM Cloud Manager with OpenStack PowerVC Standard PowerSC Standard AIX Dynamic Systems Optimizer IBM Tivoli Monitoring IBM BigFix Patch IBM Cloud PowerVC Manager AIX 7.2 EE v1.1 AIX 7.2 Standard Edition IBM Cloud Manager with OpenStack PowerVC Standard PowerSC Standard IBM Tivoli Monitoring IBM BigFix Patch AIX 7.1 EE v1.1 AIX 7.1 Standard Edition IBM Cloud Manager with OpenStack PowerVC Standard PowerSC Standard AIX Dynamic Systems Optimizer IBM Tivoli Monitoring IBM BigFix Patch
  • 5. 5 © IBM Corporation, 2016 Cloud Management for Power Systems 5 IncreasingBusinessOptions Increasing Automation and Function
  • 6. 6 © IBM Corporation, 2016 Ourteamshadavery engineering-centricculture. Wewantedtoshiftthat culturetowardsafocuson users’outcomes Charlie Hill CTO, IBM Design
  • 7. 7 © IBM Corporation, 2016 There’sonekeyto ourfuturegrowth: theclientexperience. Ginni Rometty CEO, IBM
  • 8. 8 © IBM Corporation, 2016
  • 9. Bias towards action • Everything is a prototype. • Learn from solutions in the field and adapt. • Empowered to rethink solutions even to the oldest problems.
  • 10. 10 © IBM Corporation, 2016 BuildingMinimal ViableProducts Source: blog.fastmonkeys.com
  • 11. 11 © IBM Corporation, 2016 Current Project: Better Understand the Power Patching Process 40+ Customer Interviews International Customers – Big & Small
  • 12. 12 © IBM Corporation, 2016
  • 13. 13 © IBM Corporation, 2016
  • 14. 14 © IBM Corporation, 2016
  • 15. 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 Research Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective Source: 3) Fortune, Myth-busting the Fortune 500, 2015 Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015 IBM Systems | 15
  • 16. 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 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
  • 17. 17 © IBM Corporation, 2016 A surprise trip to Lisbon An Insurance Story https://www.linkedin.com/pulse/surprise- trip-lisbon-insurance-story-david-spurway
  • 18. 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
  • 19. 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/
  • 20. 20 © IBM Corporation, 2016 Insurance is a product based on trust, for which perception matters.
  • 21. 21 © IBM Corporation, 2016 Mix in some Bluemix and Watson…
  • 22. 22 © IBM Corporation, 2016 Unstructured Facebook entries in, Geo Political Entities out! http://ibmlaser.mybluemix.net/siredemo.html
  • 23. 23 © IBM Corporation, 2016 Who & Where: Find out with Bluemix Geospatial Analytics https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
  • 24. 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
  • 25. 25 © IBM Corporation, 2016 POWER8 Announcement Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 26. 26 © IBM Corporation, 2016 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
  • 27. 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
  • 28. 28 © IBM Corporation, 2016 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
  • 29. 29 © IBM Corporation, 2016 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
  • 30. 30 © IBM Corporation, 2016 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
  • 31. 31 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 32. 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 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
  • 33. 33 © IBM Corporation, 2016 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
  • 34. 34 © IBM Corporation, 2016 Dense Virtualisation Big Data Technical OpenPOWER Linux Cluster (LC) Systems (new) S821LC Up to 2 socket, 1U, Linux 8, 10, 16 or 20 cores Up to 512 GB memory Up to 38 TB Storage 1 NVIDIA K80 GPU 4 Available PCI Slots S822LC for Big Data Up to 2 socket, 2U, Linux 8, 10, 16 or 20 cores Up to 512 GB memory Up to 96 TB Storage 2 NVIDIA K80 GPUs 5 Available PCI slots S822LC for HPC 2 socket, 2U, Linux NVLink 16 or 20 cores Up to 1 TB memory 2 Disks 2 or 4 NVIDIA P100 GPUs 3 Available PCI Slots
  • 35. 35 © IBM Corporation, 2016 OpenPOWER Linux Cluster (LC) Systems S821LC MTM: 8001-12C Code Name: Stratton S822LC for Big Data MTM: 8001-22C Code Name: Briggs S822LC for HPC MTM: 8335-GTB Code Name: Minsky (was Garrison) Power S812LC MTM: 8348-21C Code Name: Habanero Power S822LC MTM: 8335-GCA Code Name: Firestone Power S822LC MTM: 8335-GTA Code Name: Firestone
  • 36. 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 $200K 3-year Savings per 10 servers
  • 37. 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.
  • 38. 38 © IBM Corporation, 2016 Power Systems and NVIDIA GPU NVIDIA GPU NVIDIA GPU with NVLink 2015 Power Chip Power Chip with NVLink 2016 80 GB/s Peak PCIe x16 32 GB/s
  • 39. 39 © IBM Corporation, 2016 Augmented intelligence, Artificial Intelligence, Cognitive
  • 40. 40 © IBM Corporation, 2016
  • 41. 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
  • 42. 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 P100 GPU POWER8 CPU GPU Memory System Memory P100 GPU 80 GB/s GPU Memory NVLink 115 GB/s P100 GPU POWER8 CPU GPU Memory System Memory P100 GPU 80 GB/s GPU Memory NVLink 115 GB/s
  • 43. 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/
  • 44. 44 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
  • 45. 45 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
  • 46. © IBM Corporation, 2016 Questions? David Spurway – IBM Power Systems Product Manager Email: david.spurway@uk.ibm.com Phone: 07717 892 896 Twitter, LinkedIn, YouTube
  • 47. 47 © IBM Corporation, 2016
  • 48. © IBM Corporation, 2016 Thank you! David Spurway – IBM Power Systems Product Manager Email: david.spurway@uk.ibm.com Phone: 07717 892 896 Twitter, LinkedIn, YouTube