Future Proof Your Data Center with AI Acceleration Built In. Only on Intel.
The new 2nd Generation Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) accelerates AI inference up to 30x, helping you get the most out of your investment.1
Insight. Now on Demand.
Uncover new answers blazingly fast from your data.
Artificial Intelligence (AI)
Artificial Intelligence (AI) leads to remarkable breakthroughs for businesses and their customers. Explore the accelerated path from AI theory to real business value with deep learning boost.
Watch the video
Advanced Analytics reshapes the enterprise with new discoveries, better customer experiences, and new products and services. See how to build breakthrough in-memory analytics with Intel® Optane™ DC persistent memory.
Read the guide
High Performance Computing (HPC)
Shorten time to innovation by using your high performance computing (HPC) infrastructure for Artificial Intelligence (AI) in three steps.
Read the solution brief
Reimagine Your Architecture
Win in the data era with breakthrough Intel® technology.
Discover how to build out virtualized infrastructures to make the best use case of cloud-based resources, and ensure a seamless platform across public and private cloud environments.
Read the guide
Hybrid clouds deliver the agility and security your business needs to innovate rapidly. Need help determining optimal placement for your workloads across private and publish clouds?
Read the paper
Notices and Disclaimers:
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.co.id/benchmarks.
Performance results are based on testing as of the date indicated in the configuration details and may not reflect all publicly available security updates. See configuration disclosure for details. No product or component can be absolutely secure.
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. Notice Revision #20110804.
Cost reduction scenarios described are intended as examples of how a given Intel®-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction.
Intel® Advanced Vector Extensions (Intel® AVX) provides higher throughput to certain processor operations. Due to varying processor power characteristics, utilizing AVX instructions may cause a) some parts to operate at less than the rated frequency and b) some parts with Intel® Turbo Boost Technology 2.0 to not achieve any or maximum turbo frequencies. Performance varies depending on hardware, software, and system configuration and you can learn more at http://www.intel.com/go/turbo.
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.
Informasi Produk dan Performa
Peningkatan throughput inferensi hingga 30x pada prosesor Intel® Xeon® Platinum 9282 dengan Intel® Deep Learning Boost (Intel® DL Boost): Diuji oleh Intel pada tanggal 26/02/2019. Platform: Dragon rock 2 soket Intel® Xeon® Platinum 9282(56 core per soket), HT AKTIF, turbo AKTIF, Total Memori 768 GB (24 slot/ 32 GB/ 2933 MHz), BIOS: SE5C620.86B.0D.01.0241.112020180249, CentOS* 7 Kernel 3.10.0-957.5.1.el7.x86_64. x86_64, Deep Learning Framework: Intel® Optimization for Caffe* versi: https://github.com/intel/caffe d554cbf1, ICC 2019.2.187, MKL DNN versi: v0.17 (commit hash: 830a10059a018cd2634d94195140cf2d8790a75a), model: https://github.com/intel/caffe/blob/master/models/intel_optimized_models/int8/resnet50_int8_full_conv.prototxt, BS=64, Tidak ada lapisan data syntheticData: 3x224x224, 56 instans/2 soket, Datatype: INT8 dibandingkan dengan yang Diuji oleh Intel pada tanggal 11 Juli 2017: 2S Intel® Xeon® Platinum 8180 cpu @ 2,50 GHz (28 core), HT nonaktif, turbo nonaktif, penskalaan diatur ke “performa” melalui intel_pstate driver, RAM DDR4-2666 ECC 384 GB. CentOS Linux* rilis 7.3.1611 (Core), Linux* kernel 3.10.0-514.10.2.el7.x86_64. SSD: Intel® SSD Data Center Seri S3700 (800 GB, 2,5 inci SATA 6 Gb/dtk, 25 nm, MLC). Performa diukur dengan: Variabel lingkungan: KMP_AFFINITY='granularity=fine, compact‘, OMP_NUM_THREADS=56, CPU frek diatur dengan performa CPU Power frequency-set -d 2.5G -u 3.8G -g Caffe: (http://github.com/intel/caffe/), revisi f96b759f71b2281835f690af267158b82b150b5c. Inferensi diukur dengan perintah “caffe time --forward_only”, pelatihan diukur dengan perintah “caffe time”. Untuk topologi “ConvNet”, kumpulan data sintetis digunakan. Untuk topologi lainnya, data disimpan di penyimpanan lokal dan disimpan sementara di memori sebelum pelatihan. Spesifikasi topologi dari https://github.com/intel/caffe/tree/master/models/intel_optimized_models(ResNet-50). Intel® C++ Compiler ver. 17.0.2 20170213, Intel® Math Kernel Library (Intel® MKL) small libraries versi 2018.0.20170425. Caffe dijalankan dengan “numactl -l”.