Intel Corporation th September, 2019 · Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performa nce tests,

1

Otto Chow

Intel Corporation

19th September, 2019

* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

OVERof theWorld’s data WAS CREATED IN THE LAST

HasBeenAnalyzed

LESS THAN


2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

Network

Database

Analytics

Multi-cloud & Orchestration

AI

Security

Virtualization

HPC

COMPUTE DEMAND (MIPS)


May 2019 Intel Investor Meeting* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

Software & System-Level

StoreMove

SILICON PHOTONICS

OMNI-PATH FABRIC

ETHERNET

Process


NEW ERA OF DATA CENTER TECHNOLOGY

6

Software & System-Level Optimized

SILICON PHOTONICS

ETHERNET

OMNI-PATH FABRIC

Move Faster Store More Process EverythingData-Centric infrastructure


HOW INTEL INNOVATION IMPROVES THE NETWORK

7

NIC

INFRASTRUCTURE ACCELERATION

IMPROVES PERFORMANCE

ENABLE CLOUD SCALE

CONNECTIVITY

CRITICAL WORKLOADS EVOLVE THE NETWORK


8

LATENCY REDUCTION4 MORE THROUGHPUT5

DELIVERING CONSISTENT APPLICATION RESPONSE TIME

ENHANCED DYNAMIC DEVICE PERSONALIZATION (DDP)IWARP & ROCE V2 RDMA SUPPORT

100GBE FOUNDATIONAL ETHERNET

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

INTEL.COM/NETWORK* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.


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SILICON PHOTONICS

ETHERNET

OMNI-PATH FABRIC



10

ECOSYSTEMSUPPORT

SOLUTIONOPTIMIZATION

TECHNOLOGYINNOVATIONS

MEMO RY IN NO VATIO N 1 0 YEARS IN T H E MAKIN G

more VMinstancesup

toMEETING S UB- m S S LA

8 S O CKET S YS TEM

upto BW on HANA

RecordsNEW WO RLD RECO RD

INTEL.COM/OPTANEDCPERSISTENTMEMORY* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

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INTEL® OPTANE™ DC PERSISTENT MEMORY POCS/CUSTOMERS

IN-HOUSE APPS SAP HANA IN-HOUSE APPS CDN SAP HANA

IMDB

HPC Automation, redfish integration

SAP HANA

SAP HANA

SAP HANA

SPARK, AI

University of Science and Technology of China

SAP HANA ELASTICSEARCH, VMWARE VSPHERE

VMWARE ESX

HPC

MSQL, LMDB, ROCKSDB, MONGODB, MEMCACHED,

REDIS

Software and workloads used in performance tests may have been optimized for performance only on Inte l microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software , operations andfunctions. 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 complete information visit http:/ /www.inte l.com/performance. Inte l 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.

http://www.intel.com/performance

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Result13.7xspeed upAccelerated database

startup with Intel®Optane™DC persistent memory compared to DRAM only system1

1 Source: Based on internal T-Systems testing of 4 TB HANA database in App Direct Mode (4x6 256 GB Optane Memory = 6 TB, 4x6 64 GB DDR4 Memory = 1 .5 TB), start t ime is reduced from 3h (10820 sec.) to 12 min (748 sec.) => factor 13 .7 faster

Software and workload s used in performance tests may have been optimized for performance only on Inte l 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 complete information visit http :/ /www.intel.com/performance. Inte l 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.

http://www.intel.com/performance


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SILICON PHOTONICS

ETHERNET

OMNI-PATH FABRIC



BUILDING ON 20 YEARS OF DATA CENTER PROCESSOR INNOVATIONSecurity Mitigations

Intel® Deep Learning Boost

Intel® Optane™ DC Persistent Memory

network-optimized SKUs

intel® Speed Select Technology

Cloud-optimized SKUs

STANDARD SKUS CORES PER SOCKET SOCKETSCUSTOM SKUS MEMORY PER SOCKET

SECOND GENERATION

INTEL.COM/XEONSCALABLE* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

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Performance results are based on testing as of dates shown in configuration and may not reflect all publicly available security updates. Configurations and benchmark details can be found on slide/page 52. No product or component can be absolutely secure. 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 complete information visit www.intel.com/benchmarks.

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I N T EL ® X EO N ® P L A T I N U M 8 1 0 0 P RO CES SO RS

AI.INTEL.COM* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

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INTEL® DEEP LEARNING BOOST ECOSYSTEM SUPPORT

OPTIMIZED SW & FRAMEWORKS

SOFTWARE VENDORS

CLOUD SERVICE PROVIDERS

ENTERPRISES

VIDEO ANALYSIS

TEXT DETECTION

8 DIFFERENTWORKLOADS

IMAGE RECOGNITION

ML INFERENCING

AI.INTEL.COM* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.

AI COMPUTE FROM CLOUD TO DEVICE

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All purpose

Intel® Movidius™ Myriad™ Technology

Edge Optimized

Intel® Nervana™Neural Network Processor

Deep Learning By Design

Intel® Xeon® Scalable Processor Family

Foundation for AI

Intel®FPGA

Enhanced DL Inference

Flexible Acceleration Training & Inference Edge Inference

COMING 2H 2019

mWATTS100s WATTS


INTEL® XEON® SCALABLE PROCESSOR COOPER LAKE ICE LAKE

THE FUTURE OF INTEL® XEON® SCALABLE PROCESSORS

18

LEADERSHIP PERFORMANCE

Intel® Optane™ Persistent MemoryIntel DL Boost: VNNISecurity mitigations

Next-Gen Intel DL Boost: Bfloat16

* Other names and brands may be claimed as the property of others. Copyright © 2019, Intel Corporation.All information provided here is subject to change without notice. Intel may make changes to specifications and product descriptions at any time, without notice.

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Intel Corporation th September, 2019 · Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performa nce tests,