Jason WaxmanGeneral Manager

High Density Compute DivisionData Center Group

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Today 2015

~80% of Internet connected

devices are computers &

phones3

Only 25% of the world is Internet

connected today1

New technologies will connect over 1

billion additional users to the cloud2

Cars, TVs, households, etc. to increase

connected devices 2.5x to >10 billion

globally3

8X network, 16X storage & 20x compute

capacity needed7

2.5B photos on Facebook4

30B videos viewed/mos5

Google indexes >1T pages6

Econom

ies o

f S

cale

Serv

er

Consolid

ation

Manageabili

ty

High

Low

“The cloud consumes

1-2% of the

world’s energy” 11

FBI seizes servers supporting 350

hosting customers due to criminal

investigation of a

few customers12

“No specific standards currently exist for

enabling interoperability between private

clouds or public

cloud providers“14

“IT will spend ~$2T on deployment &

operations unless smarter infrastructure

radically simplifies management of

virtualized environments.“13

**Estimated savings based on hypothetical optimization case studies.

Actual results from such optimizations may vary considerably based on the complexity and numerous variables involved.

Acceleration

Throughput

Performance

Efficiency

Virtualization

Security

Power

Network & Storage

Parallelism

Scalability

Configurations

Manageability

Airflow

Voltage Regulation

Rack Density

Cable Management

Floor Plan

Aisle Layout

Integration

Operating Conditions

\

Dense 1S/2S ServersOptimized RacksContainers Micro Servers

3. Power saving:

Workload based power-tuning

4. Power Conservation:

Prolong operation during DC outage

1. Power Monitoring: Real-time power consumption

Avoid datacenter hotspots

Thermal / Power aware scheduling

2. Increase rack density:

Enable higher density with power capping

Pre outage Post outage

Mass policy push of lower power state

PowerWorkload Pre cap

powerPre cap perf Post Cap

powerPost cap perf

Cpu intsv

Io intsv

Memory

Mix / real

Workload

characterization

1 Values estimated based on a hypothetical 50K server deployment and savings over 3 years to end user, source: Intel , Sept ’08

See backup for details

Platform

Optimization

Power

Management

Software

Optimization

Datacenter

Efficiency

up to

$6M

With 10%

VR efficiency

gain1

up to

$8M

With 30W reduced

/ system1

up to

$20M

With 10% code

efficiency upside1

up to

$1M

With 10% PUE

improvement1

Open Cirrus™,

UC Berkley RADLab,

Universities

Intel Cloud Test Bed

POCs and Joint Labs

Cloud Reference

Architectures,

Tools and Training

Deployment

Best Practices

Building

Optimized Clouds

Advanced

Cloud Research

0

400

800

1200

1600

Xeon® 5470 Xeon® 5570

We

b T

ran

sa

ctio

ns p

er

Se

co

nd

*Source: Parallels, see backup for details

Visit our booth for a demo!

up to 2X

• Increased sales by 10% in Six Weeks

• 30% improvement in Energy Efficiency

• Increased Application Manageability

• 60% increase in revenue per server

• 77% decrease in IT administration cost

• Up to 100 VPS on Quad core server

• 30% improvement in Energy Efficiency

• Reduced Server count, increased new applications through Virtualization

Cloud deployments offer a great economic opportunity to Hosting Service Providers

Servers are a critical part of a cloud infrastructure –choose a Real Server

The Data Center offers many opportunities for optimization

Follow well known methods to reduce your TCO and accelerate your service deployments

Accelerate your Cloud Deployments with help from Intel

Legal Disclaimer• Intel may make changes to specifications and product descriptions at any time, without notice.

• Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit Intel Performance Benchmark Limitations

• Intel does not control or audit the design or implementation of third party benchmarks or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmarks are reported and confirm whether the referenced benchmarks are accurate and reflect performance of systems available for purchase.

• Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. See www.intel.com/products/processor_number for details.

• Intel, processors, chipsets, and desktop boards may contain design defects or errors known as errata, which may cause the product to deviate from published specifications. Current characterized errata are available on request.

• Intel Virtualization Technology requires a computer system with a processor, chipset, BIOS, virtual machine monitor (VMM) and applications enabled for virtualization technology. Functionality, performance or other virtualization technology benefits will vary depending on hardware and software configurations. Virtualization technology-enabled BIOS and VMM applications are currently in development.

• 64-bit computing on Intel architecture requires a computer system with a processor, chipset, BIOS, operating system, device drivers and applications enabled for Intel® 64 architecture. Performance will vary depending on your hardware and software configurations. Consult with your system vendor for more information.

• Intel, Intel Xeon, Intel Core microarchitecture, and the Intel logo are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries.

• © 2008 Standard Performance Evaluation Corporation (SPEC) logo is reprinted with permission

Xeon 5570-based and Xeon 5470-based Test configurations

– 3 XEON 5570 web-servers (h2eb1, h2eb2, h2eb3)

– 2 x Intel Xeon 5570 CPUs, 16 GB RAM each

– 3 XEON 5470 web-servers (al01, al02, al03)

– 2 x Intel Xeon 5470 CPUs, 16 GB RAM each

– 30,000 sites on IPs 10.22.1.100 – 10.22.1.129

– 1000 sites per one IP

– Each site contains several static pages, Wordpress, Joomla and phpBB

– 1 Load Balancer node (h2eb10)

– Linux Open source load balancer LVS, included in Linux kernel 2.6.28-rc3 or later

– 4 MySQL servers for site’s databases (h2eb10, h2es4, h2es5, h2es6)

– 2 x Intel Xeon 5570 CPUs, 16 GB RAM each

– 4 servers are used as HTTP clients (h2es* and h2eb8)

– Operating system used: CentOS ver 5.4 (Cloud Linux*)

Backup for TCO Comparison of Various Optimizations**Processor Selection:

• For IPDCs deploying a 5K server installation, by selecting servers with greater performance and equivalent power consumption, if you are able to reduce footprint by 20% versus plan, the savings could be ~$4M

• Intel Xeon 5500 versus Intel Xeon 5400 example: 2.5X better performance on SpecWeb 2005, handling far more HTTP requests / second, offering greater work at same energy profile

• 20% fewer servers:

• If 5K servers planned for purchase, 20% fewer = 1000 servers avoided

• CAPEX savings

• $3M based on $3K / server acquisition cost

• OPEX savings:

• Electricity avoidance:

• 1000 servers at 275W per server running at 60% utilization

• 3.5 year life span, $.10 / kWhr electricity cost, savings = $500K

• Cooling avoidance

• With PUE of 2 = ~$500K cooling cost

• Total OPEX savings $1 M over 3.5 years

Optimizing Power Supplies

• Optimizing on power supply efficiency for 5K servers:

• Assume going from 80 percent efficient to 90 percent

• Assume this is prospective, just like the server performance example

• A 10% efficiency improvement on a 250W server = 25W

• Multiplied over 5000 servers

• Assume $.10 / kWhr

• Savings in direct power: ~400K

• Savings in cooling at PUE of 2: ~400K

• Total savings $800K

Improving PUE by 10%

• Saving 10% PUE in a 5000 server facility

• Assume the energy consumed is 250W x 5000 servers

• Assume 65% utilization

• Assume $.10 / kWhr

• Energy cost over 3 years = ~$2.5M

• Cooling cost at PUE of 2 = ~$2.5M

• Saving 10% of total energy cost = $500k

**Estimated savings based on hypothetical optimization case studies.

Actual results from such optimizations may vary considerably based on the complexity and numerous variables involved.