ibm power systems - profi-ag.de · pdf file© 2017 ibm corporation ai and cognitive...

18
© 2017 IBM Corporation IBM Cognitive Systems Cognitive Infrastructure for the digital business transformation June 2017 Dilek Sezgün [email protected] 0160/90741619 AI and Cognitive Solution Infrastructure Sales Leader

Upload: dothu

Post on 06-Mar-2018

218 views

Category:

Documents


4 download

TRANSCRIPT

Page 1: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

IBM Cognitive SystemsCognitive Infrastructure for the digital

business transformation

June 2017

Dilek Sezgün

[email protected]

0160/90741619

AI and Cognitive Solution Infrastructure Sales Leader

Page 2: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

AI and Cognitive InfrastructureData

Intelligence of Machine

2

Power AI with Minsky

Mashine Learning on System z

IBM Storage and Software Defined Storage

Page 3: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

Data

is the new

competitive

advantage

Painpoints of the Digital Business Transformation

The digital economy is driven by big data. To deal with it, companies require more agile, flexible, and scale able tools.

Cloud

is the new

approach to agility

Open collaboration

is the new path

to innovation

3

Page 4: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

What's going on in the market? Open Source applications and databases are changing the enterprise

IBM Confidential Source: http://db-engines.com/en/ranking

Rank DBMS Growth (20 months)

1 Oracle -5%

2 MySQL 2%

3 MS SQL Server -10%

4 MongoDB 172%

5 PostgreSQL 40%

6 DB2 11%

7 Microsoft Access -26%

8 Cassandra 87%

9 SQLite 19%

Database Growth Rates

By 2018, more than 70% of new in-house applications will be developed

on an OSDBMS, and 50% of existing commercial RDBMS instances will have been converted or will

be in process...”

“…we now believe that the cost of managing OSDBMSs

and the availability of skills are now close to parity with those of thecommercial DBMS offerings. We therefore believe there are clear

savings in TCO for the OSDBMS. With software costs

skyrocketing, this has become a major focus of IT management and is a major impact of the OSDBMS.”

Source: The State of Open-Source RDBMSs, 2015, Gartner, Donald Feinberg, Merv Adrian, April 2015

Page 5: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

Client value• Lower cost, greater scale,

speed •Open source, Dev Ops model•Reduce vendor lock-in•Born on / designed for the

cloud

The Modern Data Platform

New data sources Social LocationSensorsDataServices

Transactions

b

SQL PostgreSQLcompatible

SQLMySQL

compatible

New Data ModelsNoSQL

Document, Column, Key Value, Graph,

Conventional Data Platform

note: some new data companies shown are not based on open source

RDBMS OLTPACID

Systems ofRecord

Systems of Insight

Data Warehouse & Marts

Structured Data

Structured Data

Mobile

“New” RelationalOpen Source SQL

New Transaction ServicesBlockchain

Shared, distributed ledger

New Data ModelsHadoop/Spark

Unstructured Data / Text

SQL PostgreSQLcompatible

5

Page 6: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

Open Source Myth and Infrastructure

Open Source DBs deliver 1.8-2X+ greater value on POWER8 and LinuxOne vs. x86……and

this is interesting for all who want to better than there competition

myth busterx86 is the best

platform for Open Source Databases

6

Page 7: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

IBM POWER8: Breakthrough performance for YOUR data

4XThreads per core*

4X Mem. Bandwidth*

4XMore cache*

Optimized for a broad range of Databases, BigData and Analytics Workloads

POWER8

SMT8

x86

Hyperthread

Parallel Processing

POWER8

pipe

Data flow

x86 pipe POWER8

x86POWER8 +

OpenPOWER

x86

5XFaster

7

Page 8: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation© 2016 IBM Corporation

Power Systems

MongoDB running on POWER8 Price-Performance Guarantee

• •

IBM Power Systems guarantees the Power S822LC for Big Data system built with POWER8 delivers at least a 2X price-performance advantage vs. x86 based servers when running a customer application/workload based on MongoDB.

2X 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 2 times higher than the customer's documented throughput performance on the x86 based system divided by the price of the comparable

x86 system.

EX: If transactions per second on the S822LC are 20,000 and 10,000 on the x86 based system, while the price of the S822LC is $10,000, and the price ofthe x86 based system is $10,000, then the Throughput Performance Per Price would be exactly 2 times higher and the guaranty would be met."

Notes:

1. Client’s POWER8 Machine and the x86 Machine must be running at similar utilization 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 or greater than the physical memory on the x86 Machine

4. Client is responsible for demonstrating comparable real-world representative workload between the POWER8 Machine and the x86 Machine through the use of the IBM provided tools and comparable tools on x86 systems.

5. 2x guarantee is based on a list price for x86 (Dell, Cisco, HP or Lenovo) and the IBM S822LC for Big Data.

The IBM Power S822LC for Big Data server (20-core/2.92 GHz 128GB memory, 4 TB SATA Storage) must be purchased from IBM or an authorized IBM Business

Partner prior to June 30, 2017. The guarantee period is valid for three (3) months from the date of purchase. The x86 based systems must be comparably

configured branded servers from Cisco, Dell, HP, or Lenovo and the client is responsible for all MongoDB licenses.

2X 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 2 times higher than the customer's same documented throughput

performance on the x86 based system divided by the price of such comparable x86 system.

Remediation: IBM will provide additional performance optimization and tuning services consistent with IBM Best Practices, at no charge. If unable to reach

guaranteed level of price-performance, IBM will provide additional equally configured systems to those already purchased to reach the guaranteed level of price-

performance.

Page 9: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation© 2016 IBM Corporation

Power Systems

EnterpriseDB on Power Systems Price-Performance Guarantee

• •

IBM Power Systems guarantees the S822LC for Big Data system built with POWER8 delivers at least a 1.8X price-performance advantage versus x86 based servers when running a virtualized customer application/workload based on EnterpriseDB Postgres 9.5.

1.8X price-performance means that the customer's documented throughput performance on the S822LC POWER8 divided by the sum of the price ofthe system and associated EnterpriseDB licenses will be at least 1.8 times that of the customer's documented throughput performance on the x86based system divided by the sum of the price of the comparable x86 system and associated EnterpriseDB licenses

EX: If transactions per second on the S822LC are 18,000 and 10,000 on the x86 based system, while the price of the S822LC and associatedEnterpriseDB licenses is $10,000, and the price of the x86 based system and associated EnterpriseDB licenses is $10,000, then the ThroughputPerformance Per Price would be exactly 1.8 times advantaged and the guaranty would be met."

Notes:

1. Client’s POWER8 Machine and the x86 Machine must be running at similar utilization rates. Eligible Machine and the Compared Machine must be partitioned with at least 4 equal sized partitions.

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 or greater than the physical memory on the x86 Machine

4. Client is responsible for demonstrating comparable real-world representative workload between the POWER8 Machine and the x86 Machine through the use of the IBM provided tools and comparable tools on x86 systems.

5. 1.8x guarantee is based on list price for the x86 based server (Dell, Cisco,or HP) and list price for the IBM S822LC for Big Data.

6. EnterpriseDB Postgres Advanced Server 9.5 license are priced at $1750 per core - EDB 9.5 http://www.enterprisedb.com/products-services-training/subscriptions-power

The IBM Power S822LC for Big Data server (20-core/2.92 GHz 256GB memory, 4 TB SATA Storage) must be purchased from IBM or an authorized IBM Business

Partner prior to June 30, 2017. The guarantee period is valid for three (3) months from the date of purchase. The x86 based systems must be comparably

configured branded servers from Cisco, Dell, or HP and the client is responsible for all EnterpriseDB licenses.

1.8 X price-performance means that the customer's documented throughput performance on the S822LC POWER8 divided by the sum of the price of the system

and associated EnterpriseDB licenses will be at least 1.8 times that of the customer's documented throughput performance on the x86 based system divided by the

sum of the price of the comparable x86 system and associated EnterpriseDB licenses

Remediation: IBM will provide additional performance optimization and tuning services consistent with IBM Best Practices, at no charge. If unable to reach

guaranteed level of price-performance, IBM will provide additional equally configured systems to those already purchased to reach the guaranteed level of price-

performance.

Page 10: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation© 2016 IBM Corporation

Power Systems

Hortonworks HDP running on POWER8 Price-Performance Guarantee

• •

IBM Power Systems guarantees the Power S822LC for Big Data system built with POWER8 delivers at least a 3X price-performance

advantage vs. x86 based results when running a customer application/workload with Tez/Hive LLAP on Hortonworks HDP under the

conditions noted below. A Worker Node is a server carrying out the HDP query functions, with one Worker Node per server.

3X price-performance means that the customer's documented throughput performance on the cluster of S822LC for Big Data Worker Nodes divided by the price of the cluster of Worker Nodes will be at least 3 times higher than the customer's documented throughput performance on the cluster of x86 based

Worker Nodes divided by the price of the cluster of x86 Worker Nodes.

EX: If queries per second on the cluster of S822LC Worker Nodes are 30,000 and 10,000 on the cluster of x86 based Worker Nodes, while the price of the S822LC Worker Node cluster is$10,000, and the price of the x86 based Worker Node cluster is $10,000, then the Throughput Performance Per Price would be exactly 3 times higher and the guarantee would be met."

Notes:

1. Client’s Power S822LC for BD Worker Nodes and the x86 Worker Nodes must be running at similar utilization rates of at least 50% or higher, using the same software stack as described in Note #4, and which are configured similarly.

2. Client’s Power S822LC for BD performance cannot be constrained by I/O subsystem. Specifically, the I/O subsystem on the Power S822LC for BD Worker Node must achieve greater than or equal I/O bandwidth and operations per second than

the x86 Worker Node.

3. Client’s Power S822LC for BD Worker Node’s physical memory must be the same or greater than the physical memory on the x86 Worker Node.

4. Applicable software stack is Tez/Hive LLAP on HDP 2.6 or later for both the Power S822LC and x86-based Worker Nodes.

5. Client is responsible for demonstrating comparable real-world representative workload between the Power S822LC for BD Worker Node and the x86 Worker Node through the use of the IBM provided tools and comparable tools on x86 systems.

6. 3X guarantee is based on a list price for x86 servers from Dell, Cisco, HP or Lenovo based on E5-2600 v4 or earlier processor technology and the IBM S822LC for Big Data.

The IBM Power S822LC for Big Data servers (22-core/2.89 GHz) used as Worker Nodes must be purchased from IBM or an authorized IBM Business Partner prior to

September 30, 2017. The guarantee period is valid for three (3) months from the date of purchase. The x86-based Worker Nodes must be comparably configured

branded servers from Cisco, Dell, HP, or Lenovo and the client is responsible for all Hortonworks licenses.

3X throughput performance per price means that the customer's documented throughput performance on the cluster of Power S822LC for BD Worker Nodes based on

either queries, operations or transactions per second divided by the price of the cluster of Worker Nodes will be at least 3 times higher than the customer's same

documented throughput performance on the cluster of x86 Worker Nodes divided by the price of said cluster of x86 Worker Nodes.

Remediation: IBM will provide additional performance optimization and tuning services consistent with IBM Best Practices, at no charge. If unable to reach the

guaranteed level of price-performance, IBM will provide additional equally configured Worker Nodes to those already purchased to reach the guaranteed level of price-

performance.

POP04058USEN-01

Page 11: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

ttps://www-

03.ibm.com/systems/uk/power/

hardware/linux-lc-solutions.html

Page 12: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

Power AI

Page 13: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

The Market for Artificial Intelligence / Deep Learning

Automotive and Transportation

Security and PublicSafety

Consumer Web, Mobile, Retail

Medicine and Biology Broadcast, Media and Entertainment

• Autonomous driving• Pedestrian detection• Accident avoidance• Maintenance prediction

• Video Surveillance• Image analysis• Facial recognition and

detection

• Image tagging• Speech recognition• Natural language • Sentiment analysis

• Drug discovery• Diagnostic assistance• Cancer cell detection

• Captioning• Search• Recommendations• Real time translation

Source: NVIDIA

Page 14: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

Shallow (supervised) machine learning versus deep learning

0.34

9.34

1.45

0.01

2.55

Feature extraction learning

“Coffee Mugs”

model

Very difficult to find

robust mathematical

Representations

Done by human experts

Deep Learning in a Nutshell

0.26

2.12

0.75

3.21

1.25

5.45

0.94

Feature extraction modeling

Done by deep

Neural Networks

Unstructured Data

Page 15: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

The (R)evolution of Infrastructure for Deep Learning

Google Brain 2012

16.000 Servers

~ 8 MW

~ 50 TFLOPS

3 NVIDIA PASCAL GPUs

~ 0,9kW

~ 62 TFLOPS

Page 16: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

Power AI includes all relevant Deep Learning Frameworks andenables NVIDIA P100 to maximize its Performance for AI Workloads

Power S822LC for HPC (aka Minksy)

Page 17: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation IBM Systems

Weitere Informationem zu den Themen, der Agenda und Anmeldung für den 11.

und 12.07. finden Sie unter:

https://www-

01.ibm.com/events/wwe/grp/grp308.nsf/Agenda.xsp?openform&seminar=A98AJK

ES&locale=de_DE

Die Anmeldung zum DLI-Workshop am 13.07. ist nur per Mail möglich! Bitte

schreiben Sie eine E-Mail mit dem Subject "Anmeldung DLI Workshop" an

folgende E-Mail-Adresse: [email protected]

Page 18: IBM Power Systems - profi-ag.de · PDF file© 2017 IBM Corporation AI and Cognitive Infrastructure Data Intelligence of Machine 2 Power AI with Minsky Mashine Learning on System z

© 2017 IBM Corporation

Thank You!