ARCHITECTING CLOUD SOLUTIONS

Matt Kimball Product Marketing Manager Dell World 2012 Austin, Texas December 13, 2012

2 | Cutting Big Data Down to Size | Dell World – December 2012 |

THE EVOLVING ENTERPRISE – GLOBAL MEGATRENDS

Changing Workforce

2 Technology Advancements

1

Evolving Business Models

3

3 | Cutting Big Data Down to Size | Dell World – December 2012 |

DATA EXPLOSION DRIVES NEW ARCHITECTURES

Serial processing Homogeneous architecture

Power, cooling, managing users increases complexity

Virtualized infrastructure managing/mining/securing data, growing problems

Cloud datacenters Parallel processing Heterogeneous architectures

1995 2009 2015 2005 2000

Stru

cture

d

Mobile Internet

Number of Users x Content Uploaded + Structure of Content

Web Browsers

e-Commerce

Da

ta

Web 2.0 & Cloud Computing

Un

structu

red

Information based on AMD perspective

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WEB HOSTING/CLOUD COMPUTING SOFTWARE ECOSYSTEM

Application

Layer (SaaS)

Middleware

Layer

(PaaS)

OS and/or

Hypervisor

(IaaS)

Google Apps

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CLOUD WORK LOAD PATTERNS

Usage Co

mp

ut

e

Time

Average

Inactivity

Period

“On and Off “

On and off workloads (e.g. batch job)

Over provisioned capacity is wasted

Time to market can be cumbersome

Co

mp

ute

Time

“Unpredictable Bursting“

Average Usage

Unexpected/unplanned peak in demand

Sudden spike impacts performance

Can’t over provision for extreme cases

Average Usage Co

mp

ut

e

Time

“Growing Fast“

Successful services needs to grow/scale

Keeping up w/growth is big IT challenge

Complex lead time for deployment

Co

mp

ute

Time

“Predictable Bursting“

Services with micro seasonality trends

Peaks due to periodic increased demand

IT complexity and wasted capacity

Average Usage

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HOW DO CLOUD WORKLOADS SCALE?

Cloud workloads are very different than traditional data center loads

Cloud work is “spiky” in nature, you must be able to account for both the peaks (with more cores) and the valleys (with more power efficiency)

Low computation

Heavy Computation

Cores Matter

Power Efficiency Matters

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SUPPORTING WORKLOADS IN THE CLOUD

Dense Standard Servers Example: 2P twin solutions, 8-16 cores per node Platform attributes: Low power, focus on performance per watt CPU requirements: Low power, higher core counts, sustained processing

Modular Low Power Servers Example: Low power small form factor servers deployed in larger numbers Platform attributes: Low power, small form factor, fabric enabled, focus on lowest power, not performance CPU requirements: Low power, medium core counts

Traditional Rack Servers Example: 2P/4P “traditional IT”, high throughput Platform attributes: 1U/2U chassis, high core density, focus on performance/watt and higher performance CPU requirements: High core counts, scalability, high memory throughput

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THE NEW AMD OPTERON™ 6300 SERIES PROCESSOR

Scalability Up to 4 sockets with up to 16 cores

Memory 4 DDR-3 memory channels: up to 1866 MHz memory Up to 1.5 TB capacity in 4P configurations

Frequency Up to 3.5 GHz base frequency Up to 3.8 GHz using AMD Turbo CORE technology

Cache L1 – 16 KB data per core + 64 KB instruction per module L2 – 1 MB per core L3 – 16 MB per socket

I/O Four x 16 HyperTransport™ technology 3.0 links @ up to 6.4GT/s per link

Power 85W to 140W TDP

AMD Opteron™ 6300 Series Processors

Next Generation “Piledriver” Core

Consistency with AMD Opteron™ 6200 Series • Same power/thermals • Same socket • Same software certifications

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AMD PROCESSORS IN A CLOUD WORLD

More resources to pool in your virtualized converged infrastructure

Up to 16 cores

Four memory channels

Power Management

Greater Resources Per Processor AMD-V™ Technology

Easier To Deploy

Larger pool of resources enables greater VM consolidation

Easier To Manage

Common architecture makes managing virtual pools easier

Easier To Move

Extended Migration delivers greater flexibility

Tagged TLB - Efficient switching between virtual machines for better application responsiveness. Rapid Virtualization Indexing (RVI) - Hardware-based virtual machine memory management. AMD-V™ Extended Migration – Helps enable live migration of VMs between all available AMD Opteron™ processor generations. I/O Virtualization - Enables direct device access by a virtual machine for increased integrity and security.

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DRIVING DOWN THE COST OF CLOUD

Performance & Scalability Cost Effectiveness

Near native performance

Maintain SLAs – even at high utilization

Reliably manages spiky demand of cloud application

Low acquisition costs

The right performance at the right price

Energy Efficiency

Up to 40% higher performance per watt than previous generation2

Flexible power management

Total Cost of Ownership

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VIRTUALIZATION/PRIVATE CLOUD TCO OPTIMIZATION SAMPLE DEPLOYMENT: 800 VIRTUAL MACHINES

2 x AMD Opteron™ processors Model 6284SE Dell PE R715 server, 128GB (8x16 GB DDR3-1600) memory, 1x7.2K 500GB SATA HD, base warranty 2 x Intel Xeon E5-2690 processors in Dell PE R720 server, 256GB (16x16 GB DDR3-1600) memory, 1x7.2K 500GB SATA HD, base warranty System prices as of 8/5/2012 http://www.dell.com

http://www.vmware.com/a/vmmark/

30% Lower Cost per VM (Hardware w/vSphere™ Enterprise Plus)

Save $130,000 per Rack (42U – 21 x 2P/2U)

$0.00

$200.00

$400.00

$600.00

$800.00

30 VMs 40 VMs

Dell PE R715, AMD Opteron™ Model 6284SE

Dell PE R720, Intel Xeon™ Model 2690

Cost per VM for VMmark Configurations (lower is better)

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AMD OPTERON™ PROCESSORS FOR THE CLOUD

Consolidate platforms, meet SLAs, lower TCO

– Competitive performance

– Scalable performance – even at very high CPU utilization

– Large memory footprints

– Cost effective performance

10% lower hardware acquisition cost*

6% lower overall TCO*

AMD Opteron 6300 Series raises the bar

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For more information on AMD Cloud solutions, please visit

www.AMD.com/Cloud

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DISCLAIMER The information presented in this document is for informational purposes only and may contain technical inaccuracies, omissions and typographical errors. The information contained herein is subject to change and may be rendered inaccurate for many reasons, including but not limited to product and roadmap changes, component and motherboard version changes, new model and/or product releases, product differences between differing manufacturers, software changes, BIOS flashes, firmware upgrades, or the like. AMD assumes no obligation to update or otherwise correct or revise this information. However, AMD reserves the right to revise this information and to make changes from time to time to the content hereof without obligation of AMD to notify any person of such revisions or changes.

AMD MAKES NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE CONTENTS HEREOF AND ASSUMES NO RESPONSIBILITY FOR ANY INACCURACIES, ERRORS OR OMISSIONS THAT MAY APPEAR IN THIS INFORMATION. AMD SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT WILL AMD BE LIABLE TO ANY PERSON FOR ANY DIRECT, INDIRECT, SPECIAL OR OTHER CONSEQUENTIAL DAMAGES ARISING FROM THE USE OF ANY INFORMATION CONTAINED HEREIN, EVEN IF AMD IS EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

ATTRIBUTION © 2012 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, Radeon, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other names and logos are used for informational purposes only and may be trademarks of their respective owners.

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BACK-UP

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SoC Methodology to accelerate

time to market

Heterogeneous Computing to bring the right IP/ISA to the workloads of interest

Acquisition of Fabric and System-Level IP to enable

dense, power efficient servers

Innovation Investment Execution

AMD SERVER STRATEGY

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CLOUD PLATFORM REQUIREMENTS

Transaction Processing Cores, memory, and I/O capabilities to handle large amounts of users and data

Energy Efficiency Low power consuming CPUs and platforms for “scale out” cloud server farms

Virtualization Hardware assisted virtualization for reduced overhead and increased isolation of VMs

Performance and Scalability CPUs with predictable performance to handle peaks in traffic Security Hardware assisted security to keep out intruders and protect sensitive data

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VIRTUALIZATION – TO – PRIVATE CLOUD

Low acquisition costs

Shift from capital-intensive to operational cost models

Performance to run a fixed number of VMs per server (20 – 40 VMs) at a fixed utilization rate

Maintain or improve existing SLAs

Easier, more flexible management

Software licensing not based on core

Ability to migrate VMs

Enterprise and mid-market customers expanding their virtualization footprint or upgrading their virtualization infrastructure