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Why Intel?

Simplified Path to Performance

Getting started with HPC infrastructure can be daunting, with high barriers to entry in terms of time, energy, and budget. Intel offers the guides and reference architectures to help you install, configure, and maintain your HPC infrastructure so that you can drive the most value from preferred applications.

Unique AI and HPC Acceleration

Optimize performance for AI and HPC applications on a single unified platform with built-in acceleration from Intel® AVX-512. Intel® Deep Learning Boost (Intel® DL Boost) on 3rd Gen Intel® Xeon® Scalable processors delivers up to 11x better inferencing performance with ResNet50 compared to previous-generation processors.1

Industry and Community Leader

Intel expertise in HPC goes beyond the processor. As an industry and community leader in HPC with partnerships across the ecosystem, Intel helps drive open standards and contributes to an inclusive worldwide community.

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Intel HPC Advantage

HPC Solutions by Industry

HPC for Health and Life Sciences

Genomics, molecular modeling, cryo-EM and other key HLS workloads become more cost-effective to process with Intel advantages like exceptional per-core performance. Intel also offers optimizations for common applications like GATK, RELION, and NAMD, accelerating time to results.

HPC for Financial Services

Intel® AVX-512 accelerates HPC AI workloads while Intel expertise in FSI workloads enables exceptional performance for leading software stacks. As a result, financial institutions can run code efficiently, reach insights faster, and reduce risk.

HPC for Manufacturing

Intel has decades of engineering expertise in optimizing commercial and open source CAE code. Most CAE applications run with accelerated performance out of the box on Intel® architecture.

HPC for Energy

Drive exceptional value from seismic data and accelerate the pace of discovery with high-fidelity visualizations. Intel-enabled HPC platforms for oil and gas and energy help capitalize on new opportunities while enhancing the economic viability of current assets for high output and efficiency and easier maintenance.

Intel® Select Solutions for HPC

Intel® Select Solutions are built on the Intel® HPC Platform Specification. This offers an easy and quick-to-deploy infrastructure optimized for analytics clusters and HPC applications to help accelerate time to breakthrough, actionable insights, and new product design.

Go to Intel® Select Solutions for HPC ›

AWS ParallelCluster as an Intel® Select Solution ›

Auto-scaling: Turnkey Intel® Select Solutions for HPC on Google Cloud ›

Solution brief: AWS ParallelCluster verified as Intel Select Solution ›

Products and Technology

Optimize performance and accelerate key workloads for HPC, AI, and cloud convergence.

Intel® Xeon® Scalable Processors for HPC

Intel® Software Guard Extensions

Intel® Optane™ Persistent Memory

Intel® Optane™ DC SSD Series

Intel® FPGAs

Intel® Ethernet Technology

Intel® Silicon Photonics

Intel® Artificial Intelligence

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Intel® Select Solutions: The Best Place to Start for HPC


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Product and Performance Information

111X higher batch AI inference performance with Intel-optimized Tensor Flow vs. stock Cascade Lake FP32 configuration New: 8380: 1-node, 2x Intel Xeon Platinum 8380 processor on Coyote Pass with 512 GB (16 slots/ 32GB/ 3200) total DDR4 memory, ucode X261, HT on, Turbo on, Ubuntu 20.04 LTS, 5.4.0-65-generic, 1x Intel_​SSDSC2KG96, Intel SSDPE2KX010T8, ResNet-50 v1.5, gcc-9.3.0, oneDNN 1.6.4, BS=128 FP32,INT8, TensorFlow 2.4.1 with Intel optimizations for 3rd Gen Intel Xeon Scalable processor, upstreamed to TensorFlow- 2.5 (container- intel/intel-optimized-tensorflow:tf-r2.5-icx-b631821f), Model zoo: https://github.com/IntelAI/models/tree/icx-launch-public/quickstart/, Unoptimized model : TensorFlow- 2.4.1, Modelzoo:https://github.com/IntelAI/models -b master, test by Intel on 3/12/2021. Baseline: 8280: 1-node, 2x Intel Xeon Platinum 8280 processor on Wolf Pass with 384 GB (12 slots/ 32GB/ 2933) total DDR4 memory, ucode 0x5003003, HT on, Turbo on, Ubuntu 20.04 LTS, 5.4.0-48-generic, 1x Samsung_​SSD_​860, Intel SSDPE2KX040T8, ResNet-50 v1.5, gcc-9.3.0, oneDNN 1.6.4, BS=128 FP32,INT8, Optimized model : TensorFlow 2.4.1 with Intel optimizations for 3rd Gen Intel Xeon Scalable processor, upstreamed to TensorFlow- 2.5 (container- intel/intel-optimized-tensorflow:tf-r2.5-icx-b631821f), Model zoo: https://github.com/IntelAI/models/tree/icx-launch-public/quickstart/, Unoptimized model : TensorFlow- 2.4.1, Modelzoo:https://github.com/IntelAI/models -b master, test by Intel on 2/17/2021.
21.53x higher HPC performance (geomean HPL, HPCG, STREAM Triad, WRF, Binomial Options, Black Scholes, Monte Carlo, OpenFOAM, GROMACS, LAMMPS, NAMD, RELION).
31.70x higher Monte Carlo performance App Version: v1.1; Build notes: Tools: Intel MKL 2020u4, Intel C Compiler 2020u4, Intel Threading Building Blocks 2020u4; threads/core: 1; Turbo: used; Build knobs: -O3 -xCORE-AVX512 -qopt-zmm-usage=high -fimf-precision=low -fimf-domain-exclusion=31 -no-prec-div -no-prec-sqrt.
4As of July 21, 2021, Intel offers up to 12 DDR4 memory channels for Intel® Xeon® processors, as compared to 8 for AMD EPYC.
51.60x higher Life and Material Science performance (geomean GROMACS, LAMMPS, NAMD, RELION).
61.61x higher RELION Plasmodium Ribosome performance App Version: 3_​1_​1; Build notes: Tools: Intel C Compiler 2020u4, Intel MPI 2019u9; threads/core: 2; Turbo: used; Build knobs: -O3 -ip -g -debug inline-debug-info -xCOMMON-AVX512 -qopt-report=5 –restrict.
71.64x higher GROMACS performance (geomean ion_​channel_​pme, lignocellulose_​rf, water_​pme, water_​rf) App Version: v2020.5_​SP; Build notes: Tools: Intel MKL 2020u4, Intel C Compiler 2020u4, Intel MPI 2019u8; threads/core: 2; Turbo: used; Build knobs: -O3 -ip -xCORE-AVX512.
81.60x higher LAMMPS performance (geomean Polyethylene, Stillinger-Weber, Tersoff, Water) App Version: v2020-10-29; Build notes: Tools: Intel MKL 2020u4, Intel C Compiler 2020u4, Intel Threading Building Blocks 2020u4, Intel MPI 2019u8; threads/core: 2; Turbo: used; Build knobs: -O3 -ip -xCORE-AVX512 -qopt-zmm-usage=high.
91.57x higher NAMD performance (geomean Apoa1, f1atpase, STMV) App Version: 2.15-Alpha1 (includes AVX tiles algorithm); Build notes: Tools: Intel MKL, Intel C Compiler 2020u4, Intel MPI 2019u8, Intel Threading Building Blocks 2020u4; threads/core: 2; Turbo: used; Build knobs: -ip -fp-model fast=2 -no-prec-div -qoverride-limits -qopenmp-simd -O3 -xCORE-AVX512 -qopt-zmm-usage=high.
101.42x higher performance on OpenFOAM Motorbike 42M. New: 6354: 1-node, 2x Intel Xeon Gold 6354 (18C/3.0GHz, 205W TDP) processor on Intel Software Development Platform with 512 GB (16 slots/ 32GB/ 3200) total DDR4 memory, ucode 0x261, HT on, Turbo on, CentOS Linux 8.3, 4.18.0-240.10.1.el8_​3.x86_​64, 1x Intel_​SSDSC2KG96 .Tested by Intel between March 12, 2021 and March 29, 2021. Baseline: 6154: 1-node, 2x Intel Xeon Gold 6154 (18C/3.0GHz, 200W TDP) processor on Intel Software Development Platform with 192GB (16 slots/ 16GB/ 3200) total DDR4 memory, ucode 0x2006a0a, HT on, Turbo on, CentOS Linux 8.3, 4.18.0-240.10.1.el8_​3.x86_​64, 1x Intel_​SSDSC2KG96 . Tested by Intel between February 1, 2021 to February 20, 2021.