Matt Kimball, AMD Server Solutions Marketing presentation on "Architecting Cloud Solutions" at Dell World. What makes the difference between a successful cloud implementation and one that doesn’t live up to expectations? Explore how the underlying architecture can translate into performance gains and cost savings.

1. ARCHITECTING CLOUD
SOLUTIONS
Matt Kimball
Product Marketing Manager
Dell World 2012
Austin, Texas
December 13, 2012

2. THE EVOLVING ENTERPRISE – GLOBAL MEGATRENDS
Evolving Business
Models
1
Technology 2
Advancements
3
Changing
Workforce
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3. DATA EXPLOSION DRIVES NEW ARCHITECTURES
Number of Users Web 2.0 & Cloud
Unstructured
x Mobile Internet Computing
Content Uploaded
+ e-Commerce
Structure of Content
Data
Web Browsers
Structured
1995 2000 2005 2009 2015
Virtualized infrastructure Cloud datacenters
Serial processing Power, cooling, managing
managing/mining/securing Parallel processing
Homogeneous architecture users increases complexity
data, growing problems Heterogeneous architectures
Information based on AMD perspective
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4. WEB HOSTING/CLOUD COMPUTING SOFTWARE ECOSYSTEM
Application
Layer (SaaS) Google Apps
Middleware
Layer
(PaaS)
OS and/or
Hypervisor
(IaaS)
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5. CLOUD WORK LOAD PATTERNS
“On and Off “ “Growing Fast“
Comput
Comput
e
e
Inactivity
Average Period Usage Average Usage
Time Time
On and off workloads (e.g. batch job) Successful services needs to grow/scale
Over provisioned capacity is wasted Keeping up w/growth is big IT challenge
Time to market can be cumbersome Complex lead time for deployment
“Unpredictable Bursting“ “Predictable Bursting“
Compute
Compute
Average Usage Average Usage
Time Time
Unexpected/unplanned peak in demand Services with micro seasonality trends
Sudden spike impacts performance Peaks due to periodic increased demand
Can’t over provision for extreme cases IT complexity and wasted capacity
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6. 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)
Heavy Computation
Cores Matter
Power
Efficiency
Matters
Low computation
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7. SUPPORTING WORKLOADS IN THE CLOUD
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
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
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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8. THE NEW AMD OPTERON™ 6300 SERIES PROCESSOR
AMD Opteron™ 6300 Series Processors
Next Generation “Piledriver”
Core
Scalability Up to 4 sockets with up to 16 cores
4 DDR-3 memory channels: up to 1866 MHz memory
Memory
Up to 1.5 TB capacity in 4P configurations
Up to 3.5 GHz base frequency
Frequency
Up to 3.8 GHz using AMD Turbo CORE technology
L1 – 16 KB data per core + 64 KB instruction per module
Cache L2 – 1 MB per core
L3 – 16 MB per socket
Consistency with AMD Opteron™
6200 Series
Four x 16 HyperTransport™ technology 3.0 links • Same power/thermals
I/O
@ up to 6.4GT/s per link • Same socket
• Same software certifications
Power 85W to 140W TDP
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9. AMD PROCESSORS IN A CLOUD WORLD
AMD-V™ Technology Greater Resources Per Processor
Tagged TLB - Efficient switching between virtual
More resources to pool in your
virtualized converged infrastructure
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
Up to 16 Four memory Power
a virtual machine for increased integrity and security.
cores channels Management
Easier To Deploy Easier To Manage Easier To Move
Larger pool of resources enables Common architecture makes Extended Migration delivers
greater VM consolidation managing virtual pools easier greater flexibility
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10. DRIVING DOWN THE COST OF CLOUD
Total Cost of
Ownership
Performance & Scalability Energy Efficiency Cost Effectiveness
 Near native performance  Up to 40% higher performance  Low acquisition costs
per watt than previous
 Maintain SLAs – even at high generation2  The right performance at the
utilization right price
 Flexible power management
 Reliably manages spiky
demand of cloud application
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11. VIRTUALIZATION/PRIVATE CLOUD TCO OPTIMIZATION
SAMPLE DEPLOYMENT: 800 VIRTUAL MACHINES
Cost per VM for VMmark Configurations
(lower is better)
$800.00 30% Lower Cost per VM
(Hardware w/vSphere™ Enterprise Plus)
$600.00
$400.00 Save $130,000 per Rack
(42U – 21 x 2P/2U)
$200.00
http://www.vmware.com/a/vmmark/
$0.00
30 VMs 40 VMs
Dell PE R715, AMD Opteron™ Model 6284SE
Dell PE R720, Intel Xeon™ Model 2690
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
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12. 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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13. For more information on AMD Cloud
solutions, please visit
www.AMD.com/Cloud
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14. 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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15. BACK-UP
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16. AMD SERVER STRATEGY
Execution Innovation Investment
SoC Methodology Heterogeneous Computing Acquisition of Fabric and
to accelerate to bring the right IP/ISA to System-Level IP to enable
time to market the workloads of interest dense, power efficient
servers
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17. 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
Performance and Scalability
CPUs with predictable performance to
handle peaks in traffic
Security
Hardware assisted security to keep out
intruders and protect sensitive data
Virtualization
Hardware assisted virtualization for reduced
overhead and increased isolation of VMs
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18. VIRTUALIZATION – TO – PRIVATE CLOUD
Enterprise and mid-market customers expanding their virtualization
footprint or upgrading their virtualization infrastructure
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
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