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IBM Cognitive SystemsStrategy, Offerings and MOP Capabilities

Big Data, HPDA, Machine Learning, Deep Learning, PowerAI and Cognitive …. in 15mn ☺

March 2017Christophe Menichetti

Olivier Hess

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Where do we come from ?

Data-Centric

Cognitive

Data Analytics Business Intelligence

Social AnalyticsFinancial

Analytics

High Performance Data

Analysis

Life SciencesMaterial Science

Research ClustersOil and Gas

HPC Simulation

(Acceleration)

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Gartner Views…

4

Cognitive

BUSINESSVALUE

1990

DATA WAREHOUSE

2006

BIG DATA

2015

HPDA

Store and analyse growing volumes of data on

high performance machines with ACID

Store massive volumes of data becomes more

affordable and scalable for performance

GPU/FPGA cores bulk

process tasks in parallel

- far more efficient for

many data-intensive

PrescriptiveBest Outcomes?

DescriptiveWhat Has Happened?

CognitiveLearn Dynamically

PredictiveWhat Could Happen?

COGNITIVE NEEDS FOR PERFORMANCE AND COMPUTE>

Deep Learning

Machine Learning

PERFORMANCE

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Machine Learning / Deep Learning Software Stack

Healthcare Diagnosis / Treatment

BankingFraud analysis

Pattern Recognition

Self-driving CarsRetail Customer Service Agents

Vision / Image processing

NLP

On-Prem & CloudScale-out servers

Cloud Deployment

DL FrameworksCAFFE, Torch, TensorFlow, …

Industry Solutions

MLDL Building Blocks

Software Libraries Frameworks, Services

Infrastructure

... Knowledge

Representation

Data LayerAccelerated

DBsNoSQL DBs Streams

Machine Learning

Hadoop / HDFS

AcceleratorsGPUs, FPGAs, CAPI

Flash, DL Accelerators

Unique Power TechnologiesNVLink, CAPI

ML LibrariesSpark ML, Spark R,

SciKit, Numpy, SystemML, Mahout

Cognitive Platforms

Watson

Cloud ServicesAmazon, Microsoft, Google, IBM Cloud,

Nimbix

Distributed Computing

Hadoop, Spark, MPI

...

Legacy DBs

Math Libraries: OpenBLAS/MASS, ATLAS, ESSL, LAPACK, cuDNN, cuBLAS, cuSparse, …PowerAI

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SOLUTIONSSOLUTIONS

BIG DATA(HADOOP, SPARK)

Descriptive, Predictive and Cognitive solutions based on Hadoop and Spark

HPDA(FPGA,GPU,CAPI)

Acceleration for Machine Learning/ Deep Learning and Big Data

PowerAI(Machine Learning / Deep)

Predictive and Cognitive solutions based on Open Framework (Caffee, Tensorflow, Torch …)

SOLUTIONS

Power Systems is now part of IBM Cognitive Systems

IBM STRATEGY>

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IBM CLIENT CENTER - MONTPELLIER

Customer or In house

POC/Bench

ISV & BP Porting &

Enablement

Ad.vancedTechnical Support

Power Acceleration for High Performance

Technical collaboration

For HPC Applications enablement and code

porting, performance and tuning on POWER/GPU

technologies

Power Linux System Center

Engage with ISVs & Clients to leverage the benefits of

Linux on Power, using Open Sources databases,

OpenStack for cloud, LAMP stack for web services

Power Acceleration for ISV’s

ISV Applications enablement and code

porting on POWER CAPI/FPGA technologies

Software Defined Infrastructure

Shared Service and converged Platform

workload Acceleration

On-premise, On-cloud, Hybrid

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4 Technologies – 1 synergy to add values and performance

Briefing -Remote Demo

CAPI/FPGA Acceleration

GPU / Clustering

Open Solutions

Converged Infrastructure

HADOOP

SPARKIN MEMORY

DataWarehouse

WHO WE ARE>

IBM Watson

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• Many Thanks

• Olivier Hess & Christophe Menichetti

olivier.hess@fr.ibm.com

christophe.menichetti@fr.ibm.com