Supercomputing Innovations and Breakthroughs
HPC and AI at Exascale
Intel is engineering the first US exascale supercomputer, built on future Intel® Xeon® Scalable processors, Intel® Xeon® compute architecture, Xeon® Optane™ DC Persistent Memory, and more.
Manufacturing, Life Sciences, and Oil & Gas
HPC is rapidly transforming as Intel® Xeon® Scalable processors power the next wave of analytics, simulation & modeling, and AI.
KISTI Changes Supercomputing in Korea
KISTI with its NURION supercomputer is growing to broaden the leadership of HPC R&D in Korea.
Supporting Demanding Computational Science
The Marconi supercomputer is a critical step to Cineca achieving their exascale computing objectives.
Osaka Supercomputer Supports Research
Osaka University's OCTOPUS Supercomputer has boosted scientific capacity and supports a wide range of projects.
Introducing the 2nd Generation Intel® Xeon® Scalable Processors
Discover the flexibility of one platform to handle your AI, simulation and modeling, analytics and other general HPC workloads.
Performance for HPC Platforms
Our latest platform with the 2nd Gen Intel® Xeon® Scalable processor reduces the need for dedicated systems running specialized hardware and software for unique workloads.
Leadership Compute Performance
Learn how the new Intel® Xeon® Platinum 9200 processors and Intel® Server System S9200WK are designed to optimize performance for HPC and AI workloads.
HLRN Brings Advanced Performance to HPC
HLRN selected the new Intel® Xeon® Platinum 9200 processors to meet their increasingly diverse needs for HPC workloads.
TACC Offers New HPC Capabilities
The Texas Advanced Computing Center (TACC) is using 2nd Generation Intel® Xeon® Scalable processors to solve simulation-based and data-driven science problems.
The Convergence of AI and HPC
AI on the Intel®-based HPC Infrastructure You Know
Artificial intelligence (AI) has the potential to change our lives. It’s powerful and far reaching yet does not require separate highly specialized hardware and software systems to run. Your familiar Intel®-based HPC infrastructure handles AI along with your big-data analytical workloads and more: For more insight, discovery, and competitive advantage.
Watch “AI and HPC Workload Convergence” ›
Running AI and Analytics in a Single Cluster Infrastructure
This solution brief introduces the challenges and opportunities around running AI and analytics workloads on existing HPC clusters.
AI on HPC Infrastructure in Three Steps
There are a number of steps to successfully integrating AI workloads into your existing HPC environment — our visual guide will help you get started.
Supporting HPC, AI, Analytics on a Common Platform
Learn about capabilities for running TensorFlow* and Apache Spark* on existing HPC systems using standard batch schedulers.
Intel® Select Solutions for HPC
Intel® Select Solutions are pre-configured HPC stacks designed and optimized for specific data-center workloads — like professional visualization, simulation and modeling, and genomic analytics. Available through Intel’s trusted OEM partners, Intel® Select Solutions will accelerate your HPC plans.
Intel® HPC Platform Specification and Community
Intel® HPC Platform Specification
See the recommended combination of compute, fabric, memory, storage, and software elements that comprise the fundamental requirements for Intel® Select Solutions.
Intel® HPC Application Catalog
View a centralized list of applications verified compatible with Intel® HPC Platform Specification and Intel® Select Solutions for HPC.
Intel® Cluster Checker Tool
Verify that cluster components work together seamlessly for improved uptime, productivity, and lower total cost of ownership (TCO).
Intel HPC Products and Technology
Intel® Xeon® Scalable Processors
Drive actionable insight, count on hardware-based security, and deploy dynamic service delivery with Intel® Xeon® Scalable processors.
Intel® Deep Learning Boost
Intel® Xeon® Scalable processors take embedded AI performance to the next level with Intel® Deep Learning Boost (Intel DL Boost).
Intel® Optane™ Technology
We’re enabling solutions that unleash CPU utilization, reduce bottlenecks, and deliver unprecedented insights from large datasets.
Intel® Omni-Path Architecture
Intel® Omni-Path Architecture (Intel® OPA) lowers system TCO while providing reliability, high performance, and extreme scalability.
Data Center Storage Solutions
With the explosion of data, modernizing storage is critical to IT transformation. Advances in technology allow for more efficient storage, access, and transfer of data.
Intel® FPGAs
From the IoT to the data center, Intel® FPGA solutions deliver the speed and capacity of full systems-on-chip.
Intel® Ethernet Network Adapter
Intel® Ethernet Network Adapters, Controllers, and Accessories deliver services efficiently and cost-effectively in the data center.
HPC Software and Tools
Modernize your code for today's and tomorrow’s hardware using advanced tools that help build, debug, and tune your applications.
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Informazioni su prodotti e prestazioni
Miglioramento del throughput di inferenza di 30 volte con il processore Intel® Xeon® Platinum 9282 con Intel® Deep Learning Boost (Intel® DL Boost): testato da Intel in data 26/02/2019. Piattaforma: Dragon rock a 2 socket con processore Intel® Xeon® Platinum 9282 (56 core per socket), HT abilitata, Turbo abilitata, Memoria totale 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, Framework per il deep learning: Intel® Optimization for Caffe* versione: https://github.com/intel/caffe d554cbf1, ICC 2019.2.187, MKL DNN versione: v0.17 (commit hash: 830a10059a018cd-2634d94195140cf2d8790a75a), modello: https://github.com/intel/caffe/blob/master/models/intel_optimized_models/int8/resnet50_int8_full_conv.prototxt, BS=64, No datalayer DummyData: 3x224x224, 56 istanze/2 socket, Datatype: INT8, test eseguiti da Intel in data 11 luglio 2017 a confronto con: sistema a 2 socket con CPU Intel® Xeon® Platinum 8180 a 2,50 GHz (28 core), HT abilitata, Turbo disabilitata, gestore scalabilità impostato su "prestazioni" tramite intel_pstate driver, 384 GB di RAM DDR4-2666 ECC. CentOS* Linux release 7.3.1611 (Core), kernel Linux 3.10.0-514.10.2.el7.x86_64. SSD: SSD Intel® DC serie S3700 (800 GB, 2,5", SATA 6 Gb/s, 25 nm, MLC). Prestazioni misurate con: variabili ambientali: KMP_AFFINITY='granularity=fine, compact‘, OMP_NUM_THREADS=56, frequenza della CPU impostata con cpupower frequency-set -d 2.5G -u 3.8G -g performance. Caffe: (http://github.com/intel/caffe/), revisione f96b759f71b2281835f690af267158b82b150b5c. Inferenza misurata con il comando “caffe time --forward_only”, addestramento misurato con il comando “caffe time”. Per topologie “ConvNet”, sono stati usati set di dati sintetici. Per altre topologie, i data erano archiviati su storage locale e memorizzati nella cache in memoria prima dell'addestramento. Specifiche della topologia da https://github.com/intel/caffe/tree/master/models/intel_optimized_models (ResNet-50). Compilatore Intel® C++ ver. 17.0.2 20170213, piccole librerie Intel® Math Kernel Library (Intel® MKL) versione 2018.0.20170425. Caffe eseguito con "numactl -l".
Prestazioni Linpack 4 volte superiori con il processore Intel® Xeon® Platinum 9242 di seconda generazione rispetto al processore AMD* EPYC* 7601 in scala (4 nodi, 8 nodi).
Processore Intel® Xeon® 9242: piattaforma di riferimento Intel con processori Intel® Xeon® 9242 di seconda generazione (2,2 GHz, 48C), 16 DDR4-2933 da 16 GB, 1 SSD, Cluster File System: 2.12.0-1 (server) 2.11.0-14.1 (client), BIOS: PLYXCRB1.86B.0572.D02.1901180818, Microcodice: 0x4000017, CentOS* 7.6, Kernel: 3.10.0-957.5.1.el7.x86_64, Stack OFED: OFED OPA 10.8 su RH7.5 con Lustre v2.10.4, HBA: Intel® Omni-Path Architecture (Intel® OPA) a 100 Gbps 1 porta PCIe* x16, Switch: (Intel® OPA) Edge Switch serie 100 a 48 porte, HPL 2.1, Intel Compiler 2019u1, Intel® Math Kernel Library (Intel® MKL) 2019, Intel MPI 2019u1, HT=ON, Turbo=OFF, 2 thread per core, 4 nodi=20.408,00, 8 nodi=39921 GF/s, prestazioni migliori con versione superiore, test eseguito da Intel il 3/03/2019.
AMD EPYC 7601: Supermicro AS -1023US-TR4, 2S AMD EPYC 7601 (2,2 GHz, 32C), 16 DDR4-2666 da 16 GB, 1 SSD, Versione BIOS: 1.1b (20/08/2018), Microcodice versione: 0x8001227, Oracle* Linux Server release 7.5 (3.10.0-862.14.4.el7.crt1.x86_64), Cluster File System: Panasas (storage da 124 TB) Versione firmware 5.5.0.b-1067797.15 EDR basato su IEEL Lustre, Mellanox EDR MT27700 da 100 Gbps, Switch Mellanox EDR IB a 36 porte, OFED MLNX mlnx-4.3-3.0.2.0, HPL 2.2, Intel Compiler 2018u3, AMD BLIS v0.4.0, Intel MPI 2018u3, SMT=ON,Turbo=ON, 2 thread per core, 4 nodi =4739,96, 8 nodi=9406,07 GF/s, prestazioni migliori con versione superiore, test eseguito da Intel il 23/09/2018.
Il software e i carichi di lavoro utilizzati nei test delle prestazioni possono essere stati ottimizzati per le prestazioni solo su microprocessori Intel®. I test delle prestazioni, come SYSmark* e MobileMark*, sono calcolati utilizzando specifici sistemi computer, componenti, software, operazioni e funzioni. Qualunque variazione in uno di questi fattori può comportare risultati diversi. Consultare altre fonti di informazione e altri test delle prestazioni per una valutazione completa dei prodotti che si desidera acquistare, comprese le prestazioni di tali prodotti se abbinati ad altri prodotti. Per ulteriori informazioni, visitare il sito Web all'indirizzo www.intel.it/benchmarks.
I risultati prestazionali si basano sui test eseguiti nella data indicata nei dettagli della configurazione e potrebbero non riflettere tutti gli aggiornamenti sulla sicurezza pubblicamente disponibili. Per i dettagli, consultare le informazioni sulla configurazione. Nessun prodotto o componente è totalmente sicuro. Le caratteristiche e i vantaggi delle tecnologie Intel® dipendono dalla configurazione di sistema e potrebbero richiedere hardware e software abilitati o l'attivazione di servizi. Le prestazioni variano in base alla configurazione di sistema. Rivolgersi al produttore o al rivenditore del sistema o consultare informazioni più approfondite all'indirizzo intel.it.