This Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase focuses on Big Data/Analytics software companies who have seen preformance increases with Intel products.
Intel® Xeon® Processor E5-2600 v3 Product Family Application Showcase – Big Data/Analytics
1. Intel Confidential — Do Not Forward
Intel® Xeon® Processor E5-2600 v3 Product Family
The Fast Lane to Better Performance†
Application Showcase:
Big Data/Analytics
November 2015
How fast do you want to go?
† Better Performance is demonstrated through proof points in this presentation.
New
Proof
Points
3. Up to Up to 6X increase in
performance with Intel® AVX25
Up to 3X increase in virtual
machine density6,7
Up to 3X increase in memory
bandwidth with DDR48
3
Delivering Leadership Performance
27 New World Records1
!
Up to 3X performance
improvement for efficient, high
performance building blocks3
Up to 6X throughput
with the latest Intel® DC SSD4
Up to 40GbE to improve
network virtualization
The World’s Most Energy Efficient Server2
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to
vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance Intel does not control or audit third-party benchmark data or the
web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate.
*Other names and brands may be claimed as the property of others.
1. Twenty-seven performance world records based on two-socket configurations. Source as of September 8, 2014. Full details available at: http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e5-2600-v3/xeon-e5-2600-v3-summary.html
2. Comparison based on SPECpower_ssj2008results published as of August 26, 2014. New configuration: Sugon I620-G20platform with two Intel Xeon Processor E5-2699v3, 8x16GBDDR4-2133 DR-RDIMM, Microsoft Windows Server 2008 R2, IBM J9 VM, 10,599overall ssj_ops/watt. Source
Other names and brands may be claimed as the property of others.
3. Source as of September 8, 2014. New configuration: Hewlett-Packard Company HP ProLiant ML350Gen9 platform with two Intel® Xeon® Processor E5-2699 v3, Oracle Java Standard Edition 8 update 11, 190,674SPECjbb2013-MultiJVM max-jOPS, 47,139SPECjbb2013-MultiJVM critical-jOPS. Source. Baseline: Cisco Systems Cisco UCS
C240 M3 platform with two Intel® Xeon® Processor E5-2697v2, Oracle Java Standard Edition 7 update 45, 63,079 SPECjbb2013-MultiJVMmax-jOPS , 23,797SPECjbb2013-MultiJVM critical-jOPS. Source.
4. Comparisons based by Intel on publicly available specification sheet data &/or white papers
5. Source as of August 2015on Linpack*. Supermicro* X8DTN+ with two Intel® Xeon® processor X5690, RHEL* 6.1, 12x4GB DDR3-1333, Intel® HT Technology disabled, Intel® Turbo Boost Technology enabled, SMP Linpack 10.3.5. Intel internal measurements TR#1236. Score: 159.36 GFlops. New configuration: Intel® Server System
R2208WTTYS with two Intel® Xeon® Processor E5-2699 v3, Intel® HT Technology disabled, Intel® Turbo Boost Technology enabled, 8x16GB DDR4-2133, RHEL* 6.4, Intel® MKL 11.1.1. Intel internal measurements TR#3034. Score: 1,012 GFlops.
6. Intel does not control or audit the design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and confirm whether the referenced benchmark data are accurate
and reflect performance of systems available for purchase.
7. Source as of September 8, 2014. Baseline: Fujitsu PRIMENERGY RX300 S6 with two Intel® Xeon® Processor X5690, VMware ESXi 4.1 U1, VMmark* v2.1.1 score: 7.59 @ 7 tiles, source. New Configuration: Fujitsu PRIMERGY RX2540 M1platform with two Intel® Xeon® Processor E5-2699v3, VMware ESXi 5.5.0 U2, VMmark v2.5.2 score:
26.48@ 22 tiles, source. VMware® VMmark® is a product of VMware, Inc.
8. Source as of August 2015TR#3044 on STREAM (triad): Supermicro X8DTN+ platform with two Intel® Xeon® Processor X5680, 18x8GBDDR3-800 score: 26.5 GB/sec. New Configuration: Intel® Server System R2208WTTYSwith two Intel® Xeon® Processor E5-2699v3, 24x16GB DDR4-2133@ 1600MHz DR-RDIMM, score: 85.2 GB/sec.
8. 0
1
T1 T2 T4
Intel® Xeon® processor E5-…
XPerformanceIncrease
InterSystems Corporation*
Ensemble*; HL7v2 messaging workload, from the lightest to the heaviest
“InterSystems Ensemble* (pre-production version 2014.2) executing a complex
HL7v2 benchmark on the Intel® Xeon® processor E5 -2600 v3 system running Red
Hat Enterprise Linux* 7.0 demonstrates an increase in throughput performance of
up to 57%, around 10% increase in scalability, and a 10% reduction in CPU
utilization over the prior generation processor.”
Vik Nagjee - Product Manager, Data Platforms, InterSystems
Intel® Xeon® Processor E5-2600 v3 Product Family
8
www.intersystem.com
InterSystems Ensemble* is a seamless platform for rapid connectivity and the
development of new connectable applications. It includes the comprehensive
range of technologies needed for any connectivity task, in a unified “single
stack” architecture that provides ease-of-use and enables rapid project
completion.
Breakthrough performance (throughput) and scalability improvements over the
previous Intel processor generation.
Benchmark Methodology:
http://www.intersystems.com/assets/Ensemble_HL7v2_Performance_and_Scala
bility-3f5d797b7ca89ebddee763322d9a1234.pdf
The combination of Ensemble* 2014.2, RHEL* 7.0, and the Intel®
Xeon® processor E5 -2600 v3 provides breakthrough
performance and scalability for HL7v2 messaging
Big Data/Analytics
1 - Testing conducted on InterSystems Ensemble* comparing Intel® Xeon® Processor E5-2697 v2 with Intel® Xeon® Processor E5-2697 v3. Testing done by InterSystems. For complete configuration details, see slide 34.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated
purchases, including the performance of that product when combined with other products.
InterSystems Ensemble* increased performance
with the Intel® Xeon® processor E5-2697 v31
Ensemble HL7v2 Workload type;
T1 light, T2 medium, T4 heavy
Up to
57%
faster!
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
N E W
9. Intel® Xeon® Processor E5-2600 v3 Product Family
9
Simplifying Data Governance and Accelerating Real-time Big Data
Analysis for Government, Healthcare, and Financial Services
LINKS TO WHITE PAPERS:
Government: www.intel.com/XeonE5SoftwareSolutions-marklogic-government-white-paper.html
Healthcare: www.intel.com/XeonE5SoftwareSolutions-marklogic-healthcare-white-paper.html
Financial Services: www.intel.com/XeonE5SoftwareSolutions-marklogic-financial-white-paper.html
Big Data is changing how information is managed and
used. MarkLogic* has integrated its new-gen Enterprise
NoSQL platform with Apache Hadoop* optimized for
Intel® Architecture, resulting in improved compute,
storage and memory, and network performance.
A powerful platform for data governance and IT
security.
True government-grade, enterprise-class Big Data
solutions with real-time queries, data analysis, and
security for storage.
A platform that helps IT reduce risk, contain cost, and
improve transparency.
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
N E W
1 – Performance claims detailed in white papers.
1
Software and workloads used in performance tests may have been
optimized for performance only on Intel microprocessors. Performance
tests, such as SYSmark and MobileMark, are measured using specific
computer systems, components, software, operations and functions. Any
change to any of those factors may cause the results to vary. You should
consult other information and performance tests to assist you in fully
evaluating your contemplated purchases, including the performance of
that product when combined with other products.
Intel Better Together
10. 10
Maxta* Innovates with Hyper-Converged Storage
Introducing the first hyper-converged solution to run
on the Intel® Xeon® processor E5-2600 v3 product
family:
Maxta is a leader in hyper-convergence and
software-defined storage.
Winner, “Most Innovative App award” at Intel
Developer Forum.
Delivering a 40+ percent performance
improvement1.
LINKS TO MORE INFORMATION:
1 - Press Release: http://www.maxta.com/press/maxta-wins-intel-developer-forums-innovative-app-award/
Video: http://youtu.be/suZoWCAl-Ss
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
N E W
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated
purchases, including the performance of that product when combined with other products.
11. 11
Enterprise Hadoop* and MarkLogic* NoSQL Big Data
Management Solution
LINK TO VIDEO:
http://www.intel.com/content/www/us/en/big-data/marklogic-hadoop-enterprise-big-data-study-video.html
Derive better insights from data with enterprise-grade
Big Data management from MarkLogic with NoSQL
database monitoring and management tools, and Intel®
Analytics Toolkit for Apache Hadoop* software.
Compile diverse information quickly and easily
Deliver data to any platform
Scalability, reliability and performance optimized on
Intel® architecture
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated
purchases, including the performance of that product when combined with other products.
12. 12
Ayasdi*: Next-Generation Data Analytics
LINK TO VIDEO:
http://youtu.be/FbZx5VpXFd4
The world is sitting on a treasure trove of data, but
the answers are only as good as the questions
being asked.
Ayasdi’s next-gen analytics uncover insights in
complex data.
One person can now do what used to take
hundreds1.
Leveraging the power of Intel® Xeon® processors and
Intel® Solid-State Drives.
1- http://youtu.be/FbZx5VpXFd4
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems,
components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated
purchases, including the performance of that product when combined with other products.
19. 19
Infrastructure is aging and
holding companies back.
IT must enable business
innovation while also cutting
costs.
This creates a key challenge
for business competitiveness
and growth.
Economic
Headwinds Have
Put Pressure on
IT Budgets
20. Effective IT
Empowers
Business Success
20
Companies that have invested
in IT to achieve operational
excellence and innovation are
seeing tremendous benefits.
Companies that integrate IT
into the business to deliver
differentiated services and
value for their customers are
thriving.
21. Increase Operational
Efficiency
Minimize operating expenses
and maximize efficiency
Take advantage of new capabilities in
hardware and software
Ensure security and compliance
Ensure reliability to enhance service
quality (nonstop services, VoIP, XoIP, etc.)
The Path to
Transformational IT
Data Center Optimization
Open
Standards
Based
Modernize
Service Delivery
Deliver new services on demand
Use private, public, or hybrid
cloud
Develop APIs and service-
oriented architecture
Create New
Business Opportunities
Use big data to identify
opportunities and respond to
competitive threats
Optimize operations that improve
time to market and predictive
analytics
Enhance customer value with new
products and services
2121
22. The Journey Starts with a Strong Foundation
• Take advantage of new capabilities in hardware and software to support business growth
• Minimize operating expenses, maximize efficiency
• Ensure security and compliance
22
23. 23
Unlock the Potential of Big Data
Transform/ Analyze Compute
DATA
Move Network Persist Storage
Integrate your organizational processes with end-to-end analytics powered by
Intel infrastructure technologies that can accelerate Apache Hadoop*.
24. 24
Solutions that Work Better Together
SAP ERP*
Intel® Xeon®
Processor E5-2600
v3 Product Family
2014
2010
2014
Baseline
• SAP EHP4* +
• IBM DB2* 9.7
• Intel® Xeon® Processor
X5690
Software Upgrade
+ SAP EHP5*
+ IBM DB2* 10
• Fast queries with automatic
optimizations
• Efficient indexing
Better Together
Up to 3Xperformance3
• Improve querying speed
• Support more users3
Benchmark: SAP* SD 2-tier
Hardware Upgrade
+ Intel® Xeon® Processor E5-2699 v3
• Increased parallelism with up to 18
cores
• Intel® AVX2 delivers up to 4x DP
FLOPS/core and supports 2x wider
vector integer instructions1
• Up to 2.7x memory capacity2
*Other names and brands may be claimed as the property of others.
SAPandSAPNetWeaveraretheregisteredtrademarksofSAPAGinGermanyandinseveralothercountries.See
www.sap.com/benchmarkformoreinformation.
SoftwareandworkloadsusedinperformancetestsmayhavebeenoptimizedforperformanceonlyonIntel
microprocessors.Performancetests,suchasSYSmarkandMobileMark,aremeasuredusingspecificcomputer
systems,components,software,operationsandfunctions.Anychangetoanyofthosefactorsmaycausethe
resultstovary.Youshouldconsultotherinformationandperformanceteststoassistyouinfullyevaluatingyour
contemplatedpurchases,includingtheperformanceofthatproductwhencombinedwithotherproducts.
Formoreinformation,visitintel.com/performance
*1,2,3,4+Configurationdetailsandadditionalinformationonthefollowingpage.
25. 25
Configuration Details for SAP* and Intel® Xeon® Processor E5-2600 v3 Product Family
*Other names and brands may be claimed as the property of others.
1* The Intel® Xeon® processor E5 product family supports Intel® Advanced Vector Extensions (Intel® AVX), which increases maximum vector size from 128 to 256 bits. Compared to the Intel®
Xeon® processor 5600 series, Intel AVX enables up to twice the work to be accomplished per clock cycle during floating point and vector operations.
2* Up to 2.7X memory capacity based on a 2-socket platform: Intel® Xeon® processor X5600 series supports 18 DIMMS, max memory per DIMM of 32 GB RDIMM; Intel® Xeon® processor
2600v3 family supports 24 DIMMs, max memory per DIMM of 64GB RDIMM. This enables 2.7x the memory.
3* Up to 3x performance improvement based as of September 8, 2015 on SAP SD 2-tier workload comparing baseline IBM System x3650 M3 with two Intel® Xeon® Processor X5690 using
SAP EHP 4 for ERP 6.0 scoring 5100 to the IBM System x3650 M5 platform platform with two Intel Xeon Processor E5-2699 v3 (18 cores, 36 threads), Windows Server 2012 R2, IBM DB2 10,
SAP enhancement package 5 for SAP ERP 6.0, number of SAP SD benchmark users: 16,000. The SAP certification number was not available at press time and can be found at the following
Web page: www.sap.com/benchmark.
Processor
Intel® Xeon® Processor X5690
(6C, 3.46 GHz, 130W)
Intel® Xeon® Processor E5-2699 v3
(18C, 2.3 GHz, 145W)
Sockets 2 2
Memory 96 GB 256 GB
SAP* enhancement
package
SAP* enhancement package 4 for SAP
ERP 6.0
SAP* enhancement package 5 for SAP*
ERP 6.0
OS
Windows Server* 2008
Enterprise Edition
Windows Server* 2012 R2
Database IBM DB2* 9.7 IBM DB2* 10
SAP SD benchmark users 5,100 16,0002
26. 26
Data Center Server Demos:
Ayasdi Core* (Demo video)
Solution Briefs:
Aerospike* Big Data Application (PDF)
Aerospike One Million Database Transactions/Sec (Blog post)
Ayasdi Big Data Analytics (PDF)
Cloudera* Big Data Storage, Analytics, and Security (PDF)
Splunk* High-Speed Analytics (PDF)
See more Big Data/Analytics and Intel® Xeon® processor E5-2600 v3 stories at
www.intel.com/XeonE5SoftwareSolutions
INTEL CONFIDENTIAL – USE UNDER NDA ONLY *Other names and brands may be claimed as the property of others
27. 27
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of
those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to
http://www.intel.com/performance Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate.
*Other names and brands may be claimed as the property of others.
1. Source as of September 8, 2014. New configuration: Hewlett-Packard Company HP ProLiant ML350 Gen9 platform with two Intel® Xeon® Processor E5-2699 v3, Oracle Java Standard Edition 8 update 11, 190,674 SPECjbb2013-MultiJVM max-jOPS, 47,139 SPECjbb2013-MultiJVM critical-jOPS.
Source. Baseline: Cisco Systems Cisco UCS C240 M3 platform with two Intel® Xeon® Processor E5-2697 v2, Oracle Java Standard Edition 7 update 45, 63,079 SPECjbb2013-MultiJVM max-jOPS , 23,797 SPECjbb2013-MultiJVM critical-jOPS. Source.
Accelerating Business Transformation
Up to 3.0X performance improvement1 for
efficient, high performance solutions
Common architecture for
compute, storage and networks
Monitoring and control for
improved system visibility
The Foundation for the
Software-Defined Infrastructure
Intel® Xeon® Processor. Intel® Solid-State Drives. Intel® Ethernet Solutions. Intel®
Software Development Tools
33. 33
Configuration Details:
SPLUNK*: The workload consists of simulating a number of concurrent users submitting search queries against Splunk* server. The search queries can be
dialed between "rare-term" search and "dense" search depending on the number of matching documents. "rare-term" search is an I/O intensive workload,
while "dense" search is CPU intensive.
Baseline configuration: Splunk 6.0 (build 182037) on CentOS* 6.3, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 64GB DDR3/1333, regular DIMM,
Intel® SSD DC P3700, Source is Intel internal as of June 17, 2014.
New configuration: Splunk 6.0 (build 182037) on CentOS* 6.3, 2 Intel® Xeon® processor E5-2697 v3, 2.6GHz, 14 cores, 64GB DDR4/2133, regular DIMM,
Intel® SSD DC P3700, Source is Intel internal as of June 17, 2014.
SAS*: The SAS* mixed analytic workload represents the type of SAS processing that roughly 60% of SAS customers do today. This workload created a
multi-user benchmarking scenarios to simulate the workload of a typical Foundation SAS or Base SAS / STAT customer. The goal of these scenarios is to
evaluate the multi-user performance of SAS on various platforms. Various sized mixed analytic workloads were created to simulate many users utilizing
CPU, RAM and I/O resources which SAS programs heavily utilize during typical program execution. The test was designed to mimic this workload and be
scaled to represent different sized customer environments. In this specific case, 60 sessions (228 jobs) of computational (COMP) workload are used to
measure the performance for platform comparison between E5 2699 V3 and E5 2697 V2. And 60 sessions (204 jobs) of mixed IO and CPU intensive
(MIXED) workload are used to measure the performance for IO comparison between P3700 SSD and S3700 SSD.
Baseline configuration: SAS* 9.4 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 64GB DDR3/1600, regular DIMM,
Intel® SSD DC P3700, 1Gb network, Source is Intel internal as of August 2, 2014.
New configuration: SAS* 9.4 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2699 v3, 2.3GHz, 18 cores, 64GB DDR4/1600, regular DIMM,
Intel® SSD DC P3700, 1Gb network, Source is Intel internal as of August 2, 2014.
AYASDI*: This analytic benchmark emulates the behavior of our appliance under load. This is a modified version of the standard benchmark, which our QA
team uses to validate new releases. The benchmark was scaled down to accommodate the small size of the test cluster size and limited memory resources.
We use a load generator on a separate client machine to emulate a configurable number of users, each of which performs a variety of different analyses on a
variety of datasets. Performance is measured in terms of 1) the end-to-end latency of the analyses (i.e. the time from a when a user clicks go until the result
is returned to the client), and 2) the overall throughout of analyses that can be supported by the cluster, with acceptable latency.
Baseline configuration: AYASDI Core* on CentOS* 6.3, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 64GB DDR3/1333, regular DIMM, 1TB 7200
RPM SAS for OS, 3x 600 GB Intel® SSD 320 Series, 1 GbE network, Source is Intel internal as of August 10, 2014.
New configuration: AYASDI Core* on CentOS* 6.3, 2 Intel® Xeon® processor E5-2699 v3, 2.3GHz, 18 cores, 64GB DDR4/2.133, regular DIMM, 1TB 7200 RPM
SAS for OS, 3x 600 GB Intel® SSD 320 Series, 1 GbE network, Source is Intel internal as of August 10, 2014.
34. 34
AEROSPIKE*: Aerospike* testing simulates communications for 10 million of online or mobile application users. The read/write mix is 95% read/5% write. It
models web-like traffic to the database.
Baseline configuration: Aerospike* v 3.3.9 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 64GB DDR3/1600,
regular DIMM, Intel® SSD DC P3700, 4 client nodes, 2 nodes clustered on same host,Intel® 82599ES 10 Gigabit Ethernet Controller, Source is Intel internal as
of June 17, 2014.
New configuration: Aerospike* v 3.3.9 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2699 v3, 2.3GHz, 18 cores, 64GB DDR4/2133, regular
DIMM, Intel® SSD DC P3700, 4 client nodes, 2 nodes clustered on same host, Intel® 82599ES 10 Gigabit Ethernet Controller, Source is Intel internal as of
June 17, 2014.
ALTIBASE*: With given set of Queries that are mainly performing numeric operations for testing Intel® AVX2 effects, multi-threaded clients requested
queries for workload, throughput (Requests per Second) was measured.
Baseline configuration: Altibase HDB* 6.4.1 on CentOS* 6.3, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 128GB/1866 regular DIMM, 1
SATA/7200RPM, 1Gb network, Source is Intel internal as of July 4, 2014.
New configuration: Altibase HDB* 6.4.1 on CentOS* 6.3, 2 Intel® Xeon® processor E5-2699 v3, 2.3GHz, 18 cores, 128GB/2133 regular DIMM, 1
SATA/7200RPM, 1Gb network, Source is Intel internal as of July 4, 2014.
SAS*: In this specific case, 60 sessions (228 jobs) of computational (COMP) workload are used to measure the performance for platform comparison
between Intel® Xeon® processor E5-2699 v3 and Intel® Xeon® processor E5-2697 v2.
Baseline configuration: SAS* 9.4 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2697 v2, 2.7GHz, 12 cores, 64GB DDR3/1600, regular DIMM,
Intel® SSD DC P3700, 1Gb network, Source is Intel internal as of August 2, 2014.
New configuration: SAS* 9.4 on Red Hat* Enterprise Linux 6.5, 2 Intel® Xeon® processor E5-2699 v3, 2.3GHz, 18 cores, 64GB DDR4/1600, regular DIMM,
Intel® SSD DC P3700, 1Gb network, Source is Intel internal as of August 2, 2014.
InterSystems Corporation Ensemble*: HL7v2 messaging workload. The workload consists of passing messages between applications. It has 3 flavors of
transactions, from the lightest to the heaviest.
Baseline configuration: InterSystems Corporation Ensemble* 2014.2.0 on RHEL* 7.0, 2 Intel® Xeon® processor E5-2697 v2, 3.0GHz (turbo enabled), 12 cores,
32GB/1867, Regular DIMM, Fiber Channel, 1Gb network, Source is Intel internal as of October 15, 2014.
New configuration: InterSystems Corporation Ensemble* 2014.2.0 on RHEL* 7.0, 2 Intel® Xeon® processor E5-2697 v3, 3.1GHz (turbo enabled), 14 cores,
64GB/2133, LVDIMM, Fiber Channel, 1Gb network, Source is Intel internal as of October 15, 2014.
Key Message:
Organizations today are challenged to find the right balance between cutting costs and deploying modern IT infrastructure to support ever-evolving market demands.
Key Message:
Net-Net: 32% of the world’s servers only contribute 4% of the total performance but use 65% of the total power. These servers are greater than 4 years old
Key Message:
Modernizing the IT infrastructure is a process. Here is a diagram showing an application modernization methodology, and the key phases and considerations. This is an ongoing cycle that should be completed every 2 to 4 years.
Key Message:
Start by updating your IT infrastructure to minimize operating expenses and maximize efficiency, taking advantage of new capabilities in hardware and software.
Additional Detail:
Extraordinary demands require extraordinary innovation
Intel is actively working with the industry to come up with creative and innovative solutions to meet this insatiable demand for compute in high performance computing
Intel is investing in three key areas… New CPU architectures, New Software & Tools, and Fabrics… …for a balanced platform approach… designed to keep up with the aggressive pursuit of computational capability
Key Message:
Organizations that utilize IT as a strategic enabler for operational excellence and differentiated services have a distinct competitive advantage.
Key Message:
There is a clear path to IT leadership: It starts with getting your IT environment in order and reducing costs while maximizing performance, security, and compliance.
Delivering a cloud infrastructure compounds costs savings, while enabling a flexible, service-based IT model.
From there, you can create new business opportunities and embrace new workloads like big data.
Additional Detail:
What is your balance in these three buckets?
Do you think of your IT in these 3 buckets?
How do you free up $$ from operating expenses to focus on modernized service delivery and new business opportunities?
Key Message:
To achieve insights from big data, you need the compute, network, and storage resources required to process large amounts of data.
Additional Information:
The process of manipulating data has some common attributes. It’s likely that you are gathering your data from edge devices, the cloud, or other information sources. Once the data is in your environment, there are three major components of data management.
You will need compute resources to analyze and transform data. Inside the box, this takes the form of data analytics, In-Memory DB, or standard data processing. Outside the box, the data warehouse is transforming the modern enterprise data center. Compute is clearly the major component of analytics for insight, but there are more needs.
A solid network is necessary to move the data to the analytics engine. In some cases, networks and datacenter topologies actually move the analytics engines closer to the data, which reverses the normal trend. Having a good network is key to getting the most out of your data.
Finally, there’s a necessity to store or persist your data in a format that enables you to quickly gain insight. The structure of your data store along with the nearness of the analytics engines make all the difference in garnering information in minutes versus hours.
Intel is a leading supplier of silicon and systems. Additionally, we are growing our software competencies in Big Data. We can be a trusted advisor to you as you begin to scope your Big Data and analytics deployments.