SlideShare a Scribd company logo
© IBM Corporation, 2016
IBM Power Systems – Enabling Cloud Solutions
11th January 2017
Presented by David Spurway
IBM Power Systems Product Manager
IBM Systems, UK and Ireland
2 © IBM Corporation, 2016
A surprise trip to Lisbon
An Insurance Story
https://www.linkedin.com/pulse/surprise-
trip-lisbon-insurance-story-david-spurway
3 © 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
4 © 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/
5 © IBM Corporation, 2016
Insurance is a product based on trust, for which perception
matters.
6 © IBM Corporation, 2016
Mix in some Bluemix and Watson…
7 © IBM Corporation, 2016
Unstructured Facebook entries in, Geo Political Entities out!
http://ibmlaser.mybluemix.net/siredemo.html
8 © IBM Corporation, 2016
Who & Where: Find out with Bluemix Geospatial Analytics
https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
9 © 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
10 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
12 © 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
13 © 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
14 © 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
15 © 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
16 © 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
17 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
19 © 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
Memory
Bandwidth
per Socket
Peak I/O
Bandwidth
per Socket
Threads
per
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
20 © IBM Corporation, 2016
POWER8 vs. Haswell Performance
Benchmark
Intel
E5 V3
Haswell
Best
Results POWER8
Best
Results
Per
Core
Ratio
SAP SD 2-Tier ERP 6
Dell PowerEdge R730
E5-2699 v3, 36 Core
16,500
IBM E870
80 Core
79,750 2.2 X
SPECjbb2013
Lenovo Flex x240
E5-2699 v3, 36 Core
245,178
IBM E870
80 Core
1,299,150 2.4 X
SPECint_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
1,400
IBM E880
64 Core
5,400 2.1 X
SPECfp_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
942
IBM E880
64 Core
4,470 2.5 X
Oracle e-BS 12.1.3
Extra Large Payroll
Cisco UCS C240 M4
E5-2697 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
21 © IBM Corporation, 2016
OLTP Server & Per Core Performance
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
PerformanceRatio(OLTP)
OLTP Perf Comparison
by Server
0.0000
0.0050
0.0100
0.0150
0.0200
0.0250
0.0300
0.0350
0.0400
Performanceratiopercore
OLTP Perf Comparison
per core
22 © IBM Corporation, 2016
Java Server & Per Core Performance
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
PerformanceRatio(OLTP)
Java Perf Comparison
by Server
0.00
0.01
0.01
0.02
0.02
0.03
0.03
0.04
0.04
0.05
Performanceratiopercore
Java Perf Comparison
per core
23 © IBM Corporation, 2016
Power S814 Power S824
Power S822
Power S812L Power
S822L
Scale-out Systems (1 & 2 sockets)
IBMPowerSystems
Enterprise Systems (4+ sockets)
Power E880CPower E870C
Power E850C
Power S824L
Power Systems Range
Operating Systems
or
Hypervisors Management
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)
26 © IBM Corporation, 2016
SAN
cachedisk0 cachedisk2
Cache Pool
(SSD disks)
hdisk1 hdisk2 hdisk3 hdisk8
SSD
LPAR1
Virtualized: Flash LUN managed by VIOS
Cache
management
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 /
Cache
Engine
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
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)
Original
rootvg
New rootvg
(Alt-disk-install)
VIOS
NPIV /
VSCSI
SEA
Original LPAR
Virt. ent
VSCSI
Surrogate LPAR
Virt. ent
CEC
Original
rootvg mirror
New rootvg
(Alt-disk-install)
Original Kernel Updated Kernel
VSCSI
Running
Workload
Running
Workload
Live Migration
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
30 © IBM Corporation, 2016
TCO Case with Oracle Database
£0.00
£2,000,000.00
£4,000,000.00
£6,000,000.00
£8,000,000.00
£10,000,000.00
£12,000,000.00
£14,000,000.00
£16,000,000.00
Oracle Oracle Server
X6-2 (2ch/44co Xeon
E5-2699 v4 2.2GHz)
Oracle Sun Server X5-
8 (8ch/144co Xeon
E7-8895 v3 2.60GHz)
IBM Power System
S824 (4ch/24co
POWER8 3.52GHz)
IBM Power System
E850C (8ch/48co
POWER8 3.65GHz)
IBM Power System
E880C (16ch/160co
POWER8 4.19GHz)
Cost Comparison
3 Year Oracle Maint
Oracle DB Lic Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
Server
Oracle Oracle
Server X6-2
Oracle Sun
Server X5-8
IBM Power
System S824
IBM Power
System E850C
IBM Power
System E880C
Oracle Licenses Needed 550 648 216 168 155
Number of servers 30 9 9 4 1
% Discount on Oracle
Software = 60%
32 © IBM Corporation, 2016
TCO Case with Oracle RAC
% Discount on Oracle
Software = 60%
£0.00
£10,000,000.00
£20,000,000.00
£30,000,000.00
£40,000,000.00
£50,000,000.00
£60,000,000.00
£70,000,000.00
Oracle Oracle Server
X6-2 (2ch/44co Xeon
E5-2699 v4 2.2GHz)
Oracle Sun Server X5-
8 (8ch/144co Xeon
E7-8895 v3 2.60GHz)
IBM Power System
S824 (4ch/24co
POWER8 3.52GHz)
IBM Power System
E850C (8ch/48co
POWER8 3.65GHz)
IBM Power System
E880C (16ch/160co
POWER8 4.19GHz)
Cost Comparison
3 Year DG Maint
Oracle DG Lic Costs
3 Year Tuning Pack Maint
Oracle Tuning Pack Lic Costs
3 Year Diag Pack Maint
Oracle Diag Pack Lic Costs
3 Year Partitioning Maint
Oracle Partitioning Lic Costs
3 Year RAC Maint
Oracle RAC Lic Costs
3 Year Oracle Maint
Oracle DB Lic Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
34 © IBM Corporation, 2016
TCO Case with WAS ND
£0.00
£2,000,000.00
£4,000,000.00
£6,000,000.00
£8,000,000.00
£10,000,000.00
£12,000,000.00
£14,000,000.00
£16,000,000.00
£18,000,000.00
Oracle Oracle Server
X6-2 (2ch/44co Xeon
E5-2699 v4 2.2GHz)
Oracle Sun Server
X5-8 (8ch/144co
Xeon E7-8895 v3
2.60GHz)
IBM Power System
S824 (4ch/24co
POWER8 3.52GHz)
IBM Power System
E850C (8ch/48co
POWER8 3.65GHz)
IBM Power System
E880C (16ch/160co
POWER8 4.19GHz)
Cost Comparison
WAS/ND 3 Year Support Costs
WAS/ND License Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
36 © IBM Corporation, 2016
TCO Case combined
£0.00
£20,000,000.00
£40,000,000.00
£60,000,000.00
£80,000,000.00
£100,000,000.00
£120,000,000.00
£140,000,000.00
£160,000,000.00
£180,000,000.00
£200,000,000.00
Oracle Oracle Server
X6-2 (2ch/44co Xeon
E5-2699 v4 2.2GHz)
Oracle Sun Server
X5-8 (8ch/144co
Xeon E7-8895 v3
2.60GHz)
IBM Power System
S824 (4ch/24co
POWER8 3.52GHz)
IBM Power System
E850C (8ch/48co
POWER8 3.65GHz)
IBM Power System
E880C (16ch/160co
POWER8 4.19GHz)
Cost Comparison
WPS 3 Year Support Costs
WPS License Costs
WAS/ND 3 Year Support Costs
WAS/ND License Costs
3 Year DG Maint
Oracle DG Lic Costs
3 Year Tuning Pack Maint
Oracle Tuning Pack Lic Costs
3 Year Diag Pack Maint
Oracle Diag Pack Lic Costs
3 Year Partitioning Maint
Oracle Partitioning Lic Costs
3 Year RAC Maint
Oracle RAC Lic Costs
3 Year Oracle Maint
Oracle DB Lic Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
Server
Oracle Oracle
Server X6-2
Oracle Sun
Server X5-8
IBM Power
System S824
IBM Power
System E850C
IBM Power
System E880C
Discount 30% 30% 30% 30% 30%
Cost Ratio 2.56 to 1 2.89 to 1 1.22 to 1 1 to 1 1.27 to 1
38 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
40 © 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
41 © 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
42 © IBM Corporation, 2016
Power Systems and NVIDIA GPU Roadmap
NVIDIA GPU NVIDIA GPU with NVLink
2015
Power Chip Power Chip
with NVLink*
2016*
*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
80 GB/s
Peak*
PCIe x16
32 GB/s
43 © IBM Corporation, 2016
Hadoop / Spark Commercial Technical
OpenPOWER Linux Cluster (LC) Systems (existing)
S812LC
1 socket, 2U, Linux
8 or 10 cores
Up to 1 TB memory
Up to 112 TB Storage
4 Available PCI Slots
KVM / Bare Metal
S822LC – GCA
2 socket, 2U, Linux
16 or 20 cores
Up to 1 TB memory
2 Disks
5 Available PCI slots
KVM / Bare Metal
S822LC – GTA
2 socket, 2U, Linux
16 or 20 cores
Up to 1 TB memory
2 Disks
2 NVIDIA K80 GPUs
3 Available PCI Slots
Bare Metal
44 © 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
45 © 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
46 © 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/
47 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
48 © 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
51 © 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

More Related Content

What's hot

EMC Atmos for service providers
EMC Atmos for service providersEMC Atmos for service providers
EMC Atmos for service providerssolarisyougood
 
10/ EnterpriseDB @ OPEN'16
10/ EnterpriseDB @ OPEN'16 10/ EnterpriseDB @ OPEN'16
10/ EnterpriseDB @ OPEN'16 Kangaroot
 
Cisco cloud computing deploying openstack
Cisco cloud computing deploying openstackCisco cloud computing deploying openstack
Cisco cloud computing deploying openstacksolarisyougood
 
Power systems virtualization with power kvm
Power systems virtualization with power kvmPower systems virtualization with power kvm
Power systems virtualization with power kvmsolarisyougood
 
Introduce: IBM Power Linux with PowerKVM
Introduce: IBM Power Linux with PowerKVMIntroduce: IBM Power Linux with PowerKVM
Introduce: IBM Power Linux with PowerKVMZainal Abidin
 
Storage Sizing for SAP
Storage Sizing for SAPStorage Sizing for SAP
Storage Sizing for SAPCenk Ersoy
 
IBM POWER Systems
IBM POWER SystemsIBM POWER Systems
IBM POWER Systemstcp cloud
 
Modernize Your Oracle Environment with an Agile Data Infrastructure
Modernize Your Oracle Environment with an Agile Data InfrastructureModernize Your Oracle Environment with an Agile Data Infrastructure
Modernize Your Oracle Environment with an Agile Data InfrastructureNetApp
 
Emc solutions for sap_overview
Emc solutions for sap_overviewEmc solutions for sap_overview
Emc solutions for sap_overviewCenk Ersoy
 
Superior Cloud Economics with Power Systems
Superior Cloud Economics with Power Systems Superior Cloud Economics with Power Systems
Superior Cloud Economics with Power Systems IBM Power Systems
 
The Need for Speed: Parallel I/O and the New Tick-Tock in Computing
The Need for Speed: Parallel I/O and the New Tick-Tock in ComputingThe Need for Speed: Parallel I/O and the New Tick-Tock in Computing
The Need for Speed: Parallel I/O and the New Tick-Tock in ComputingDataCore Software
 
Can $0.08 Change your View of Storage?
Can $0.08 Change your View of Storage?Can $0.08 Change your View of Storage?
Can $0.08 Change your View of Storage?DataCore Software
 
Future of Power: PowerLinux - Jan Kristian Nielsen
Future of Power: PowerLinux - Jan Kristian NielsenFuture of Power: PowerLinux - Jan Kristian Nielsen
Future of Power: PowerLinux - Jan Kristian NielsenIBM Danmark
 
Ibpstc30951 wdg ib_mbooklet
Ibpstc30951 wdg ib_mbookletIbpstc30951 wdg ib_mbooklet
Ibpstc30951 wdg ib_mbookletBloombase
 
Hitachi Accelerated Flash Storage
Hitachi Accelerated Flash Storage Hitachi Accelerated Flash Storage
Hitachi Accelerated Flash Storage Hitachi Vantara
 
The Value of NetApp with VMware
The Value of NetApp with VMwareThe Value of NetApp with VMware
The Value of NetApp with VMwareCapito Livingstone
 
Ibm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIbm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIBM Switzerland
 
Emc ecs 2 technical deep dive workshop
Emc ecs 2 technical deep dive workshopEmc ecs 2 technical deep dive workshop
Emc ecs 2 technical deep dive workshopsolarisyougood
 
DataCore Software - The one and only Storage Hypervisor
DataCore Software - The one and only Storage HypervisorDataCore Software - The one and only Storage Hypervisor
DataCore Software - The one and only Storage HypervisorASBIS SK
 

What's hot (20)

EMC Atmos for service providers
EMC Atmos for service providersEMC Atmos for service providers
EMC Atmos for service providers
 
10/ EnterpriseDB @ OPEN'16
10/ EnterpriseDB @ OPEN'16 10/ EnterpriseDB @ OPEN'16
10/ EnterpriseDB @ OPEN'16
 
Cisco cloud computing deploying openstack
Cisco cloud computing deploying openstackCisco cloud computing deploying openstack
Cisco cloud computing deploying openstack
 
Power systems virtualization with power kvm
Power systems virtualization with power kvmPower systems virtualization with power kvm
Power systems virtualization with power kvm
 
Introduce: IBM Power Linux with PowerKVM
Introduce: IBM Power Linux with PowerKVMIntroduce: IBM Power Linux with PowerKVM
Introduce: IBM Power Linux with PowerKVM
 
Storage Sizing for SAP
Storage Sizing for SAPStorage Sizing for SAP
Storage Sizing for SAP
 
IBM POWER Systems
IBM POWER SystemsIBM POWER Systems
IBM POWER Systems
 
Modernize Your Oracle Environment with an Agile Data Infrastructure
Modernize Your Oracle Environment with an Agile Data InfrastructureModernize Your Oracle Environment with an Agile Data Infrastructure
Modernize Your Oracle Environment with an Agile Data Infrastructure
 
Emc solutions for sap_overview
Emc solutions for sap_overviewEmc solutions for sap_overview
Emc solutions for sap_overview
 
Superior Cloud Economics with Power Systems
Superior Cloud Economics with Power Systems Superior Cloud Economics with Power Systems
Superior Cloud Economics with Power Systems
 
The Need for Speed: Parallel I/O and the New Tick-Tock in Computing
The Need for Speed: Parallel I/O and the New Tick-Tock in ComputingThe Need for Speed: Parallel I/O and the New Tick-Tock in Computing
The Need for Speed: Parallel I/O and the New Tick-Tock in Computing
 
Can $0.08 Change your View of Storage?
Can $0.08 Change your View of Storage?Can $0.08 Change your View of Storage?
Can $0.08 Change your View of Storage?
 
Future of Power: PowerLinux - Jan Kristian Nielsen
Future of Power: PowerLinux - Jan Kristian NielsenFuture of Power: PowerLinux - Jan Kristian Nielsen
Future of Power: PowerLinux - Jan Kristian Nielsen
 
Ibpstc30951 wdg ib_mbooklet
Ibpstc30951 wdg ib_mbookletIbpstc30951 wdg ib_mbooklet
Ibpstc30951 wdg ib_mbooklet
 
Hitachi Accelerated Flash Storage
Hitachi Accelerated Flash Storage Hitachi Accelerated Flash Storage
Hitachi Accelerated Flash Storage
 
The Value of NetApp with VMware
The Value of NetApp with VMwareThe Value of NetApp with VMware
The Value of NetApp with VMware
 
Ibm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bkIbm symp14 referentin_barbara koch_power_8 launch bk
Ibm symp14 referentin_barbara koch_power_8 launch bk
 
Emc ecs 2 technical deep dive workshop
Emc ecs 2 technical deep dive workshopEmc ecs 2 technical deep dive workshop
Emc ecs 2 technical deep dive workshop
 
DataCore Software - The one and only Storage Hypervisor
DataCore Software - The one and only Storage HypervisorDataCore Software - The one and only Storage Hypervisor
DataCore Software - The one and only Storage Hypervisor
 
DataCore At VMworld 2016
DataCore At VMworld 2016DataCore At VMworld 2016
DataCore At VMworld 2016
 

Viewers also liked

OpenPOWER Summit Europe: Day 1 Recap
OpenPOWER Summit Europe: Day 1 RecapOpenPOWER Summit Europe: Day 1 Recap
OpenPOWER Summit Europe: Day 1 RecapOpenPOWERorg
 
Edge 2016 Session 1886 Building your own docker container cloud on ibm power...
Edge 2016 Session 1886  Building your own docker container cloud on ibm power...Edge 2016 Session 1886  Building your own docker container cloud on ibm power...
Edge 2016 Session 1886 Building your own docker container cloud on ibm power...Yong Feng
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageIBM Power Systems
 
IBM Power Systems Announcement Update
IBM Power Systems Announcement UpdateIBM Power Systems Announcement Update
IBM Power Systems Announcement UpdateDavid Spurway
 
IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17David Spurway
 

Viewers also liked (7)

OpenPOWER Summit Europe: Day 1 Recap
OpenPOWER Summit Europe: Day 1 RecapOpenPOWER Summit Europe: Day 1 Recap
OpenPOWER Summit Europe: Day 1 Recap
 
Demystify OpenPOWER
Demystify OpenPOWERDemystify OpenPOWER
Demystify OpenPOWER
 
IBM Power VC
IBM Power VCIBM Power VC
IBM Power VC
 
Edge 2016 Session 1886 Building your own docker container cloud on ibm power...
Edge 2016 Session 1886  Building your own docker container cloud on ibm power...Edge 2016 Session 1886  Building your own docker container cloud on ibm power...
Edge 2016 Session 1886 Building your own docker container cloud on ibm power...
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems Advantage
 
IBM Power Systems Announcement Update
IBM Power Systems Announcement UpdateIBM Power Systems Announcement Update
IBM Power Systems Announcement Update
 
IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17
 

Similar to IBM Power Systems - enabling cloud solutions

2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...Hendrik van Run
 
IBM Power leading Cognitive Systems
IBM Power leading Cognitive SystemsIBM Power leading Cognitive Systems
IBM Power leading Cognitive SystemsHugo Blanco
 
Cisco connect montreal 2018 compute v final
Cisco connect montreal 2018   compute v finalCisco connect montreal 2018   compute v final
Cisco connect montreal 2018 compute v finalCisco Canada
 
IBM: The Linux Ecosystem
IBM: The Linux EcosystemIBM: The Linux Ecosystem
IBM: The Linux EcosystemKangaroot
 
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistOWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistParis Open Source Summit
 
#IBMEdge: Flash Storage Session
#IBMEdge: Flash Storage Session#IBMEdge: Flash Storage Session
#IBMEdge: Flash Storage SessionBrocade
 
Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Tony Pearson
 
Storwize SVC presentation February 2017
Storwize SVC presentation February 2017Storwize SVC presentation February 2017
Storwize SVC presentation February 2017Joe Krotz
 
Pushing new industry standards with Sap Hana
Pushing new industry standards with Sap HanaPushing new industry standards with Sap Hana
Pushing new industry standards with Sap HanaAnkit Bose
 
transform your busines with superior cloud economics
transform your busines with superior cloud economicstransform your busines with superior cloud economics
transform your busines with superior cloud economicsDiana Sofia Moreno Rodriguez
 
Deploying Massive Scale Graphs for Realtime Insights
Deploying Massive Scale Graphs for Realtime InsightsDeploying Massive Scale Graphs for Realtime Insights
Deploying Massive Scale Graphs for Realtime InsightsNeo4j
 
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors DataWorks Summit/Hadoop Summit
 
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...Optimizing Hortonworks Apache Spark machine learning workloads for contempora...
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...Indrajit Poddar
 
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...Trivadis
 
Effectively Plan for Your Move to the Cloud
Effectively Plan for Your Move to the CloudEffectively Plan for Your Move to the Cloud
Effectively Plan for Your Move to the CloudPrecisely
 
Storage Cloud and Spectrum deck 2017 June update
Storage Cloud and Spectrum deck 2017 June updateStorage Cloud and Spectrum deck 2017 June update
Storage Cloud and Spectrum deck 2017 June updateJoe Krotz
 
S100298 pendulum-swings-orlando-v1804a
S100298 pendulum-swings-orlando-v1804aS100298 pendulum-swings-orlando-v1804a
S100298 pendulum-swings-orlando-v1804aTony Pearson
 

Similar to IBM Power Systems - enabling cloud solutions (20)

2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...
 
IBM Power leading Cognitive Systems
IBM Power leading Cognitive SystemsIBM Power leading Cognitive Systems
IBM Power leading Cognitive Systems
 
Cisco connect montreal 2018 compute v final
Cisco connect montreal 2018   compute v finalCisco connect montreal 2018   compute v final
Cisco connect montreal 2018 compute v final
 
IBM: The Linux Ecosystem
IBM: The Linux EcosystemIBM: The Linux Ecosystem
IBM: The Linux Ecosystem
 
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems SpecialistOWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
OWF14 - Plenary Session : Thibaud Besson, IBM POWER Systems Specialist
 
#IBMEdge: Flash Storage Session
#IBMEdge: Flash Storage Session#IBMEdge: Flash Storage Session
#IBMEdge: Flash Storage Session
 
Has Your Data Gone Rogue?
Has Your Data Gone Rogue?Has Your Data Gone Rogue?
Has Your Data Gone Rogue?
 
SAP HANA on POWER9 systems
SAP HANA on POWER9 systemsSAP HANA on POWER9 systems
SAP HANA on POWER9 systems
 
Storwize SVC presentation February 2017
Storwize SVC presentation February 2017Storwize SVC presentation February 2017
Storwize SVC presentation February 2017
 
Pushing new industry standards with Sap Hana
Pushing new industry standards with Sap HanaPushing new industry standards with Sap Hana
Pushing new industry standards with Sap Hana
 
transform your busines with superior cloud economics
transform your busines with superior cloud economicstransform your busines with superior cloud economics
transform your busines with superior cloud economics
 
Deploying Massive Scale Graphs for Realtime Insights
Deploying Massive Scale Graphs for Realtime InsightsDeploying Massive Scale Graphs for Realtime Insights
Deploying Massive Scale Graphs for Realtime Insights
 
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors
How to Optimize Hortonworks Apache Spark ML Workloads on Modern Processors
 
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...Optimizing Hortonworks Apache Spark machine learning workloads for contempora...
Optimizing Hortonworks Apache Spark machine learning workloads for contempora...
 
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...
TechEvent 2019: Create a Private Database Cloud in the Public Cloud using the...
 
Effectively Plan for Your Move to the Cloud
Effectively Plan for Your Move to the CloudEffectively Plan for Your Move to the Cloud
Effectively Plan for Your Move to the Cloud
 
IBM PureSystems
IBM PureSystemsIBM PureSystems
IBM PureSystems
 
SAPonAzureCaseStudyMay2020.pptx
SAPonAzureCaseStudyMay2020.pptxSAPonAzureCaseStudyMay2020.pptx
SAPonAzureCaseStudyMay2020.pptx
 
Storage Cloud and Spectrum deck 2017 June update
Storage Cloud and Spectrum deck 2017 June updateStorage Cloud and Spectrum deck 2017 June update
Storage Cloud and Spectrum deck 2017 June update
 
S100298 pendulum-swings-orlando-v1804a
S100298 pendulum-swings-orlando-v1804aS100298 pendulum-swings-orlando-v1804a
S100298 pendulum-swings-orlando-v1804a
 

More from David Spurway

IBM i and Linux case studies
IBM i and Linux case studiesIBM i and Linux case studies
IBM i and Linux case studiesDavid Spurway
 
IBM Power Systems at the heart of Cognitive Solutions
IBM Power Systems at the heart of Cognitive SolutionsIBM Power Systems at the heart of Cognitive Solutions
IBM Power Systems at the heart of Cognitive SolutionsDavid Spurway
 
Introduction to Machine Learning on IBM Power Systems
Introduction to Machine Learning on IBM Power SystemsIntroduction to Machine Learning on IBM Power Systems
Introduction to Machine Learning on IBM Power SystemsDavid Spurway
 
The world of Machine Learning, Deep Learning and PowerAI
The world of Machine Learning, Deep Learning and PowerAIThe world of Machine Learning, Deep Learning and PowerAI
The world of Machine Learning, Deep Learning and PowerAIDavid Spurway
 
IBM Power Systems Outlook and Roadmap
IBM Power Systems Outlook and RoadmapIBM Power Systems Outlook and Roadmap
IBM Power Systems Outlook and RoadmapDavid Spurway
 
IBM Power Systems Update 2Q17
IBM Power Systems Update 2Q17IBM Power Systems Update 2Q17
IBM Power Systems Update 2Q17David Spurway
 
IBM i at the heart of Cognitive Solutions
IBM i at the heart of Cognitive SolutionsIBM i at the heart of Cognitive Solutions
IBM i at the heart of Cognitive SolutionsDavid Spurway
 
IBM i at the eart of cognitive solutions
IBM i at the eart of cognitive solutionsIBM i at the eart of cognitive solutions
IBM i at the eart of cognitive solutionsDavid Spurway
 
Announcement Overview 4Q14 (ext)
Announcement Overview 4Q14 (ext)Announcement Overview 4Q14 (ext)
Announcement Overview 4Q14 (ext)David Spurway
 

More from David Spurway (9)

IBM i and Linux case studies
IBM i and Linux case studiesIBM i and Linux case studies
IBM i and Linux case studies
 
IBM Power Systems at the heart of Cognitive Solutions
IBM Power Systems at the heart of Cognitive SolutionsIBM Power Systems at the heart of Cognitive Solutions
IBM Power Systems at the heart of Cognitive Solutions
 
Introduction to Machine Learning on IBM Power Systems
Introduction to Machine Learning on IBM Power SystemsIntroduction to Machine Learning on IBM Power Systems
Introduction to Machine Learning on IBM Power Systems
 
The world of Machine Learning, Deep Learning and PowerAI
The world of Machine Learning, Deep Learning and PowerAIThe world of Machine Learning, Deep Learning and PowerAI
The world of Machine Learning, Deep Learning and PowerAI
 
IBM Power Systems Outlook and Roadmap
IBM Power Systems Outlook and RoadmapIBM Power Systems Outlook and Roadmap
IBM Power Systems Outlook and Roadmap
 
IBM Power Systems Update 2Q17
IBM Power Systems Update 2Q17IBM Power Systems Update 2Q17
IBM Power Systems Update 2Q17
 
IBM i at the heart of Cognitive Solutions
IBM i at the heart of Cognitive SolutionsIBM i at the heart of Cognitive Solutions
IBM i at the heart of Cognitive Solutions
 
IBM i at the eart of cognitive solutions
IBM i at the eart of cognitive solutionsIBM i at the eart of cognitive solutions
IBM i at the eart of cognitive solutions
 
Announcement Overview 4Q14 (ext)
Announcement Overview 4Q14 (ext)Announcement Overview 4Q14 (ext)
Announcement Overview 4Q14 (ext)
 

Recently uploaded

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...Product School
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Product School
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Product School
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Alison B. Lowndes
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoTAnalytics
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...Product School
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxAbida Shariff
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutesconfluent
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsPaul Groth
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...Product School
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀DianaGray10
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Thierry Lestable
 

Recently uploaded (20)

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 

IBM Power Systems - enabling cloud solutions

  • 1. © IBM Corporation, 2016 IBM Power Systems – Enabling Cloud Solutions 11th January 2017 Presented by David Spurway IBM Power Systems Product Manager IBM Systems, UK and Ireland
  • 2. 2 © IBM Corporation, 2016 A surprise trip to Lisbon An Insurance Story https://www.linkedin.com/pulse/surprise- trip-lisbon-insurance-story-david-spurway
  • 3. 3 © 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
  • 4. 4 © 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/
  • 5. 5 © IBM Corporation, 2016 Insurance is a product based on trust, for which perception matters.
  • 6. 6 © IBM Corporation, 2016 Mix in some Bluemix and Watson…
  • 7. 7 © IBM Corporation, 2016 Unstructured Facebook entries in, Geo Political Entities out! http://ibmlaser.mybluemix.net/siredemo.html
  • 8. 8 © IBM Corporation, 2016 Who & Where: Find out with Bluemix Geospatial Analytics https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
  • 9. 9 © 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
  • 10. 10 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 11. 12 © 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
  • 12. 13 © 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
  • 13. 14 © 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
  • 14. 15 © 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
  • 15. 16 © 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
  • 16. 17 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 17. 19 © 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 Memory Bandwidth per Socket Peak I/O Bandwidth per Socket Threads per 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
  • 18. 20 © IBM Corporation, 2016 POWER8 vs. Haswell Performance Benchmark Intel E5 V3 Haswell Best Results POWER8 Best Results Per Core Ratio SAP SD 2-Tier ERP 6 Dell PowerEdge R730 E5-2699 v3, 36 Core 16,500 IBM E870 80 Core 79,750 2.2 X SPECjbb2013 Lenovo Flex x240 E5-2699 v3, 36 Core 245,178 IBM E870 80 Core 1,299,150 2.4 X SPECint_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 1,400 IBM E880 64 Core 5,400 2.1 X SPECfp_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 942 IBM E880 64 Core 4,470 2.5 X Oracle e-BS 12.1.3 Extra Large Payroll Cisco UCS C240 M4 E5-2697 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
  • 19. 21 © IBM Corporation, 2016 OLTP Server & Per Core Performance 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 PerformanceRatio(OLTP) OLTP Perf Comparison by Server 0.0000 0.0050 0.0100 0.0150 0.0200 0.0250 0.0300 0.0350 0.0400 Performanceratiopercore OLTP Perf Comparison per core
  • 20. 22 © IBM Corporation, 2016 Java Server & Per Core Performance 0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 PerformanceRatio(OLTP) Java Perf Comparison by Server 0.00 0.01 0.01 0.02 0.02 0.03 0.03 0.04 0.04 0.05 Performanceratiopercore Java Perf Comparison per core
  • 21. 23 © IBM Corporation, 2016 Power S814 Power S824 Power S822 Power S812L Power S822L Scale-out Systems (1 & 2 sockets) IBMPowerSystems Enterprise Systems (4+ sockets) Power E880CPower E870C Power E850C Power S824L Power Systems Range Operating Systems or Hypervisors Management
  • 22. 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)
  • 23. 26 © IBM Corporation, 2016 SAN cachedisk0 cachedisk2 Cache Pool (SSD disks) hdisk1 hdisk2 hdisk3 hdisk8 SSD LPAR1 Virtualized: Flash LUN managed by VIOS Cache management 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 / Cache Engine
  • 24. 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
  • 25. 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) Original rootvg New rootvg (Alt-disk-install) VIOS NPIV / VSCSI SEA Original LPAR Virt. ent VSCSI Surrogate LPAR Virt. ent CEC Original rootvg mirror New rootvg (Alt-disk-install) Original Kernel Updated Kernel VSCSI Running Workload Running Workload Live Migration
  • 26. 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
  • 27. 30 © IBM Corporation, 2016 TCO Case with Oracle Database £0.00 £2,000,000.00 £4,000,000.00 £6,000,000.00 £8,000,000.00 £10,000,000.00 £12,000,000.00 £14,000,000.00 £16,000,000.00 Oracle Oracle Server X6-2 (2ch/44co Xeon E5-2699 v4 2.2GHz) Oracle Sun Server X5- 8 (8ch/144co Xeon E7-8895 v3 2.60GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850C (8ch/48co POWER8 3.65GHz) IBM Power System E880C (16ch/160co POWER8 4.19GHz) Cost Comparison 3 Year Oracle Maint Oracle DB Lic Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase Server Oracle Oracle Server X6-2 Oracle Sun Server X5-8 IBM Power System S824 IBM Power System E850C IBM Power System E880C Oracle Licenses Needed 550 648 216 168 155 Number of servers 30 9 9 4 1 % Discount on Oracle Software = 60%
  • 28. 32 © IBM Corporation, 2016 TCO Case with Oracle RAC % Discount on Oracle Software = 60% £0.00 £10,000,000.00 £20,000,000.00 £30,000,000.00 £40,000,000.00 £50,000,000.00 £60,000,000.00 £70,000,000.00 Oracle Oracle Server X6-2 (2ch/44co Xeon E5-2699 v4 2.2GHz) Oracle Sun Server X5- 8 (8ch/144co Xeon E7-8895 v3 2.60GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850C (8ch/48co POWER8 3.65GHz) IBM Power System E880C (16ch/160co POWER8 4.19GHz) Cost Comparison 3 Year DG Maint Oracle DG Lic Costs 3 Year Tuning Pack Maint Oracle Tuning Pack Lic Costs 3 Year Diag Pack Maint Oracle Diag Pack Lic Costs 3 Year Partitioning Maint Oracle Partitioning Lic Costs 3 Year RAC Maint Oracle RAC Lic Costs 3 Year Oracle Maint Oracle DB Lic Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase
  • 29. 34 © IBM Corporation, 2016 TCO Case with WAS ND £0.00 £2,000,000.00 £4,000,000.00 £6,000,000.00 £8,000,000.00 £10,000,000.00 £12,000,000.00 £14,000,000.00 £16,000,000.00 £18,000,000.00 Oracle Oracle Server X6-2 (2ch/44co Xeon E5-2699 v4 2.2GHz) Oracle Sun Server X5-8 (8ch/144co Xeon E7-8895 v3 2.60GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850C (8ch/48co POWER8 3.65GHz) IBM Power System E880C (16ch/160co POWER8 4.19GHz) Cost Comparison WAS/ND 3 Year Support Costs WAS/ND License Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase
  • 30. 36 © IBM Corporation, 2016 TCO Case combined £0.00 £20,000,000.00 £40,000,000.00 £60,000,000.00 £80,000,000.00 £100,000,000.00 £120,000,000.00 £140,000,000.00 £160,000,000.00 £180,000,000.00 £200,000,000.00 Oracle Oracle Server X6-2 (2ch/44co Xeon E5-2699 v4 2.2GHz) Oracle Sun Server X5-8 (8ch/144co Xeon E7-8895 v3 2.60GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850C (8ch/48co POWER8 3.65GHz) IBM Power System E880C (16ch/160co POWER8 4.19GHz) Cost Comparison WPS 3 Year Support Costs WPS License Costs WAS/ND 3 Year Support Costs WAS/ND License Costs 3 Year DG Maint Oracle DG Lic Costs 3 Year Tuning Pack Maint Oracle Tuning Pack Lic Costs 3 Year Diag Pack Maint Oracle Diag Pack Lic Costs 3 Year Partitioning Maint Oracle Partitioning Lic Costs 3 Year RAC Maint Oracle RAC Lic Costs 3 Year Oracle Maint Oracle DB Lic Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase Server Oracle Oracle Server X6-2 Oracle Sun Server X5-8 IBM Power System S824 IBM Power System E850C IBM Power System E880C Discount 30% 30% 30% 30% 30% Cost Ratio 2.56 to 1 2.89 to 1 1.22 to 1 1 to 1 1.27 to 1
  • 31. 38 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 32. 40 © 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. 41 © 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. 42 © IBM Corporation, 2016 Power Systems and NVIDIA GPU Roadmap NVIDIA GPU NVIDIA GPU with NVLink 2015 Power Chip Power Chip with NVLink* 2016* *All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. 80 GB/s Peak* PCIe x16 32 GB/s
  • 35. 43 © IBM Corporation, 2016 Hadoop / Spark Commercial Technical OpenPOWER Linux Cluster (LC) Systems (existing) S812LC 1 socket, 2U, Linux 8 or 10 cores Up to 1 TB memory Up to 112 TB Storage 4 Available PCI Slots KVM / Bare Metal S822LC – GCA 2 socket, 2U, Linux 16 or 20 cores Up to 1 TB memory 2 Disks 5 Available PCI slots KVM / Bare Metal S822LC – GTA 2 socket, 2U, Linux 16 or 20 cores Up to 1 TB memory 2 Disks 2 NVIDIA K80 GPUs 3 Available PCI Slots Bare Metal
  • 36. 44 © 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
  • 37. 45 © 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
  • 38. 46 © 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/
  • 39. 47 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
  • 40. 48 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
  • 41. © IBM Corporation, 2016 Questions? David Spurway – IBM Power Systems Product Manager Email: david.spurway@uk.ibm.com Phone: 07717 892 896 Twitter, LinkedIn, YouTube
  • 42. 51 © IBM Corporation, 2016
  • 43. © 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