ibm power systems update 1q17
TRANSCRIPT
© IBM Corporation, 2016
IBM Power Systems Update7th March 2017
Presented by David SpurwayIBM Power Systems Product ManagerIBM 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 v1.2AIX 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
5 © IBM Corporation, 2016
Cloud Management for Power Systems
5
Incr
easi
ng B
usin
ess
Opt
ions
Increasing Automation and Function
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
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There’s one key toour future growth:the client experience.
Ginni Rometty
CEO, IBM
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Bias towards action
• Everything is a prototype.
• Learn from solutions in the field and adapt.
• Empowered to rethink solutions even to the oldest problems.
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Building Minimal Viable Products
Source: blog.fastmonkeys.com
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Current Project:Better Understand the
Power Patching Process40+ Customer Interviews
International Customers – Big & Small
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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 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
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
17 © IBM Corporation, 2016
A surprise trip to Lisbon
An Insurance Storyhttps://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 CloudEconomics
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
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-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
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
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
31 © IBM Corporation, 2016
POWER8 Overview
Optimized for Data
Open Innovation Platform
Superior CloudEconomics
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
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
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
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
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
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 Chipwith NVLink
2016
80 GB/sPeak
PCIe x1632 GB/s
39 © IBM Corporation, 2016
Augmented intelligence, Artificial Intelligence, Cognitive
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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
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
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 ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube
47 © IBM Corporation, 2016
© IBM Corporation, 2016
Thank you!David Spurway – IBM Power Systems Product ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube