This document discusses key IT challenges facing organizations such as cloud computing, the internet of things, big data, and security. It notes that by 2020 there will be over 44 zettabytes of internet traffic and over 50 billion connected devices. The document discusses how new services are driving an explosion of devices and how new devices are driving demand for servers. It provides an overview of different types of servers and workloads. The document highlights collaborations between Intel and AWS to optimize server performance for AWS instances, providing customers with cost savings and improved performance. It notes how Moore's Law continues to drive IT innovation and how the Intel-AWS collaboration provides competitive advantages to customers.

1. Regional Director
Data Centre Platform Marketing, Intel APJ
Eddie Toh
April 2016

2. 1965-2015: 50YearsofMoore’sLaw

3. OBSERVATIONS OVER THE LAST 12 MONTHS
KEY IT CHALLENGES
Cloud
Client
Continuu
m
Internet
of Things
SecurityBig Data
New
Business +
Usage Models
…By 2020
>44 Zetabyte Internet
Traffic3
>50 Bn Connected
Devices2
>5 Bn More
Netizen’s1
Tectonic Shifts
Energy
Transport
Retail
Healthcare
Smart
Cities
Finance
Cloud
Computing
Client
Continuum
Internet
of Things
SecurityBig Data
1: National Science Fundation-jan 2015
2 : Morgan Stanley-jan 2015
3 : IDC-Apr 2014

4. New Services Driving Explosion of Devices
New Devices Driving Demand for Servers
1 Source: Intel internal analysis

6. E- Commerce
Dedicated
Hosting
Enterprise
Applications
High
Performance
Computing
Big DataContent Delivery
and Gaming
Graphics
Rendering
I/O Intensive
CPU&Memory
Intensive
Cold
Storage
Low End
Networking
Edge
Routing
Storage
De-dupe
Cloud RAN
Small
Cell
Higher latency, lower throughput Lower latency, higher throughput

7. E- Commerce
Dedicated
Hosting
Enterprise
Applications
High
Performance
Computing
Big DataContent Delivery
and Gaming
Graphics
Rendering
I/O Intensive
CPU&Memory
Intensive
Cold
Storage
Low End
Networking
Edge
Routing
Storage
De-dupe
Cloud RAN
Small
Cell
Higher latency, lower throughput Lower latency, higher throughput
T2 Micro Instance
M3 Standard Instance
M4 Instances
E5-2670 v2
E5-2676v3
C4 Compute
Optimized
E5-2666 v3
R3 Memory Optimized
I2 I/O intensive
E5-2670 v2
D2 Dense
Storage
G2 GPU Instance
E5-2670
E5-2680 v2
Xeon Family
E5-2676 v3

8. AES-NI
enhanced security that reduce the
performance penalty associated with
encrypting/decrypting data
Turbo Boost
Technology
2.0
more computing power
when needed with
performance that adapts to
spikes in workload
AVX 2.0
double the floating-point
performance for compute-intensive
workloads & additional instructions
for compression and encryption
Intel®
Xeon E5-
2666 v3
C4
Intel®
Xeon E5-
2676 v3
D2
Intel®
Xeon E5-
2670 v2
R3
Intel®
Xeon E5-
2676 v3
M4
Intel®
Xeon E5-
2670 v2
I2

9. Novartis Pharmaceuticals* found that choosing a premium high-performing
one would provide the company up to 65% cost savings1 over the lower
cost instance
“We’ve been able to replace a significant amount of our C1’s and M1’s
with fewer C3’s and M3’s simply because of the bang for your buck on
processing power and the fact that they’re backed by SSDs helps a ton too.”
Joey Parsons - Flipboard Head of Operations (AWS Summit March 26, 2014)
1 http://newsroom.intel.com/community/intel_newsroom/blog/2014/01/15/intel-joins-forces-with-cloud-service-providers-around-the-world-to-
reveal-whats-inside-their-datacenters

10. • X1 featuring up to 2TB of memory, 100 vCPU
• Designed for demanding enterprise workloads,
including productions installations of SAP HANA,
Microsoft SQL Server, Apache Spark and Presto
• Using Intel E7 v3 Haswell processors
• Available during 1H 2016 in North America

11. Intel® Xeon® Processor
E5-2600 v4 Product Family
(launched 31 March 2016)
Intel® Xeon® Processor
E7 v4 Product Family
(launching in June 2016)

13. Competitive Advantage
Impactful Insights
Measurable Business Value

14. • Scale out analytics manage and process massive amounts of data
from any source. Amazon EMR runs on the Amazon EC2 service
• Scale out data warehouse Amazon Redshift provides a managed
massively parallel petabyte scale data warehouse
• Scale up analytics leverage in memory computing for unfettered
data access. SAP users can launch the entire enterprise software
stacks on the AWS platform and use multicore optimized instances
in either single-node or scale-out configurations
• Analytics at the edge for IOT ingest and analyze data streams in real
time using Intel intelligent gateways at the edge connected to
Amazon services such as Kinesis and or AWS IoT
Intel® IoT
Gateways

15. • Moore’s Law continues to be the driving force behind IT
innovation
• A seamlessly connected Cloud infrastructure provides an
unmatched competitive advantage
• Close collaboration & innovation between Intel & AWS results in
best-in-class end-user experiences and customer successes

17. Custom Intel® Xeon® processors for Amazon EC2 instances, deliver optimized
performance through higher frequencies, more vCPUs and new features such as:
• Intel® AES-NI – enhanced security with these encryption instructions that
reduce the performance penalty associated with encrypting/decrypting data
• P state and C state control provides the ability to
individually tune each cores’ performance and sleep
states to improve application performance
• Intel® Turbo Boost Technology 2.0 – get more computing
power when needed with performance that adapts to
spikes in workload
• Intel® AVX2.0 instructions double the floating-point
performance for compute-intensive workloads & provides
additional instructions for compression and encryption
New EC2 Instances – C4

18. AWS&IntelBringMoreChoiceToEnd-Users!