Overview
Every industry tackles a different set of challenges. AWS HPC solutions help companies from small to large in nearly every industry achieve their HPC objectives with flexible configuration options that simplify operations, save money, and get results to market faster. These workloads span the traditional HPC applications like genomics, life sciences research, financial risk analysis, computer-aided design, and seismic imaging, to the emerging applications like machine learning, deep learning, and autonomous vehicles.
Computer Aided Engineering (CAE) & Electronic Design Automation (EDA)
By relying on AWS Graviton2-powered Amazon EC2 instances, F1 has already lowered the cost of running its CFD workloads by 30 percent and anticipates even more savings. Learn more »
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Kioxia uses AWS for better HPC performance and cost savings in semiconductor memory development and manufacturing. It achieved 7% cost savings by rebalancing 1% of design jobs. Learn more »
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Good Chemistry democratizes access to computer-aided materials design using HPC on AWS. Its QEMIST Cloud helps remediate forever chemicals that pose a significant risk to human health and the environment. Learn more »
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Flying Whales uses AWS to run CFD workflow jobs 15 times faster, finish jobs in two weeks instead of one month, launch prototype on schedule, and support 600-core computational models. Learn more »
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INEOS team UK was able to process thousands of design simulations for their America’s Cup 4X faster on AWS compared to their on-premises environment. Learn more »
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Joby Aviation has used AWS to iterate faster on the design of its electric vertical takeoff and landing aircraft. The company can now focus more on design and less on managing large-scale IT infrastructure. Learn more »
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In early 2020, one of the company’s on-premises HPC clusters failed, reducing its compute capacity by half. Rivian looked to the cloud to overcome this challenge. Learn more »
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LGE used NICE DCV on premises to enable remote access to its CAE applications running in its on-premises data centers. As a result, its engineers can remotely, simply, and efficiently access their CAE applications. Learn more »
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Computer Aided Engineering (CAE) & Electronic Design Automation (EDA), continued
Using AWS, Autodesk can scale the use of generative design to run hundreds of simulations in one hour instead of several hours or days. Autodesk develops software for the engineering, design, and entertainment industries. Learn more »
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With nearly 12,000 employees in 60 countries, FLSmidth is a global leader in the mining and cement industry. Learn how FLSmidth reduced simulation time from months to days on AWS. Learn more »
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By using AWS and a flexible SaaS subscription model, OnScale offers engineers nearly infinite HPC compute resources to run complex simulations, for a fraction of the time it’d take and cost to run locally. Learn more »
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Energy technology startup Modern Electron uses Amazon EC2 C6g Instances to run simulations that help optimize its thermionic converter while cutting compute costs and accelerating time to market. Learn more »
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Western Digital built a cloud-scale HPC cluster on AWS and they were able to run 2.3 million simulation jobs on a single HPC cluster of 1 million vCPUs – built using Amazon EC2 Spot Instances, reducing the time to results from 20 Days to 8 hours. Read the blog »
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Executing HPC simulations on AWS infrastructure allows Western Digital to produce a higher quality product and achieve a faster time-to-market. Learn more »
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The scalability provided by AWS and the ease of implementation provided by CFD Direct offer Big Ass Fans an efficient and cost-effective solution to respond to customer requirement instantly. Learn more »
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By using an HPC solution on AWS, Avio Aero is no longer forced to leave customers waiting for results because of limited on-premises resources. Learn more »
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Computer Aided Engineering (CAE) & Electronic Design Automation (EDA), continued
Volkswagen Group Research sought to improve its simulation and design cycles and chose to run a PoC on AWS using Altair ultraFluidX. Following a successful PoC, Altair estimates Volkswagen could save up to 70 percent of its current hardware cost using ultraFluidX. Learn more »
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ProteanTecs uses AWS to get the flexibility and scalability they needed to support high-performance computing (HPC) workloads that run millions of simulations each day. Learn more »
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Innovium used AWS to remove the compute scalability barrier, so that they can focus exclusively on product innovations. Learn more »
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CADFEM uses AWS to make complex simulation software more accessible to smaller engineering firms, helping them compete with much larger ones. Learn more »
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Amazon Prime Air ran Simcenter STAR-CCM+ with AWS ParallelCluster and Elastic Fabric Adapter to run their CFD simulations on AWS. Learn more »
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Using HPC on AWS, VorTech democratized access to computer-aided materials design, advanced clean water and sanitation in developing countries, and reduced energy usage by up to 41% for its customers.
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Healthcare and Life Sciences
Illumina
Illumina uses AWS to globally scale its DNA sequencing technologies while driving down costs by 100X and meeting the security requirements of different countries and customers.
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Bristol-Myers Squibb
Learn how Bristol-Myers Squibb was able to perform intensive clinical trial simulations on AWS with a 98% time savings, which helps them to shorten study time and reduce patient impact.
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Thermo Fisher
Learn how Thermo Fisher used AWS to build the Thermo Fisher Cloud, a platform that helps medical researchers and scientists securely store, analyze, and share data globally.
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Fred Hutch
Fred Hutch aims to accelerate their research processes on AWS so they can get closer to developing therapeutics to fight cancer.
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Relay Therapeutics
By accessing close to 100,000 CPUs on AWS, the Relay Therapeutics team is able to perform the analysis of billions of compounds in one day, and has lowered their compute costs 50%.
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Shionogi
Japanese pharmaceutical company, Shionogi, reduced calculation time by more than 10X for their drug discovery pipeline and has run millions on simulations on AWS HPC.
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DNAnexus
Learn how DNAnexus built a platform for genomic analysis on AWS to meet the demanding requirements of HIPAA, CAP/CLIA, GxP, and other privacy laws and regulations.
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Celgene
Learn how Celgene enables secure collaboration between its own researchers and academic research labs using AWS.
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Healthcare and Life Sciences, continued
AstraZeneca
To rapidly process data at scale, AstraZeneca used Amazon Web Services (AWS) to build a fast, efficient solution for extracting impactful genomics insights.
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Fabric Genomics
Fabric Genomics uses AWS to process whole genomes in minutes, help physicians diagnose diseases faster, and scale to support large genomic datasets.
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OpenEye Scientific Software
OpenEye Scientific Software uses AWS to save $800,000 yearly, help pharmaceutical companies deploy thousands of processing cores in weeks instead of months, and improve collaboration.
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Metabiota
Metabiota’s uses Rescale platform on AWS to manage their pandemic influenza event catalog that requires 18 million simulations and produces 100 TB of uncompressed data.
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Igenomix
Using AWS, Igenomix has the on-demand capacity to run highly data-intensive next-generation sequencing (NGS) workloads, so it can analyze 1,150 percent more samples.
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GENALICE
Learn how GENALICE processed genomes from 800 Alzheimer’s disease patients in just 60 minutes, which would have taken its competitor more than two weeks to complete.
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Seven Bridges
Using AWS has helped enable Seven Bridges to provide their customers with complex genetics analysis at a large scale and at low cost—typically saving researchers 40% compared to in-house solutions.
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Arterys
By using AWS, Arterys can render multi-dimensional models of the heart across all device types in 10 minutes or less instead of the 90-minute industry standard.
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Healthcare and Life Sciences, continued
Smithsonian Institution
Using AWS, the Smithsonian Institution Data Science Team can scale instances up and down as needed, allowing the team to annotate genomes in parallel while also managing costs.
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QBiC
With AWS, QBiC can potentially cut their genomics research time by 50 percent because of the automation and orchestration they get with AWS Batch.
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23andMe
23andMe migrated to AWS within 4 months. The company ran a compute job on more than 80,000 virtual CPUs increasing efficiency, and completed a 3-week production workload 33% ahead of schedule with optimized costs.
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54gene
54gene equalizes precision medicine by increasing diversity in genetics research using AWS. It's curating diverse datasets to unlock genetic insights in Africa and globally and analyzed 30-40 TB of data in a few days.
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Cambridge Crystallographic Data Centre
Cambridge Crystallographic Data Centre uses AWS and Intel to accelerate drug development. It saves researchers hundreds of thousands of hours of life sciences research time across the globe.
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Mirati
Mirati accelerates drug discovery with the OpenEye platform powered by AWS and Intel. It screened several billion molecules in under 24 hours toward lifesaving oncology therapeutics.
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Seqera Labs
Seqera Labs grew the use of its flagship bioinformatics solution by 160 percent in 18 months and reduced costs by up to 87% using AWS Batch.
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Energy
Hess uses AWS to ingest Seismic data at massive scale and improve productivity of their engineers.
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With Spiral Suite running on AWS, a problem that once would have required about seven hours of calculation time completes in less than four minutes.
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With AWS, Woodside data science teams can deliver a new analytics algorithm in a few weeks, where it would have taken them three to six months previously.
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Digital Globe was able to get data to their customers in the shortest amount of time using AWS
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By using cutting edge reservoir modeling software from Rock Flow Dynamics on AWS, simulations that would have taken several years to complete was done over a 12-day period.
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Storengy has increased its HPC cluster performance by 2.5 times since moving to AWS. With faster performance, Storengy can more quickly validate experiments before moving them into production.
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BlocPower decarbonizes buildings while saving millions of dollars by deploying its SaaS BlocMaps using HPC on AWS.
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Baker Hughes migrated its computational fluid dynamics applications to AWS, cutting gas turbine design cycle time, saving 40 percent on HPC costs, and reducing its carbon footprint by 99 percent.
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Financial Services
Aon Securities Inc. (ASI) leverages GPU-optimized instances on Amazon EC2 to run its financial simulation platform and lower the calculation and total reporting process time from 10 days to 10 minutes. Learn more »
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Bankinter uses AWS for credit-risk simulation applications that require upto 5,000,000 simulations. Using AWS, Bankinter was able to reduce the average time-to-solution from 23 hours to 20 minutes. Learn more »
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To respond to rapidly changing market dynamics, FINRA moved about 90 percent of its data volumes to Amazon Web Services, using AWS to capture, analyze, and store a daily influx of 37 billion record. Learn more »
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Using AWS, Pacific Life can quickly scale its compute capacity with less cost and IT overhead compared to adding new hardware to its own data centers. Learn more »
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Using AWS, Numerix can run calculations that used to take a month in under 40 minutes, which is near real time for trade and risk management. Learn more »
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Using AWS, Rappi has optimized its benefit-cost ratio by 90% with FinOps. The company processed 25 million orders per month on its intermediation platform for deliveries and gained the flexibility to run more than 10,000 Amazon EC2 Spot Instances at peak times. Learn more »
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Automotive & Autonomous Vehicles
TuSimple built their autonomous driving platform using sophisticated deep learning algorithms developed with Apache MXNet on AWS. TuSimple has used AWS to simulate billions of miles of driving. Learn more »
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AWS provides DriveAI the ability to seamlessly scale as their business grows, and the capability to handle their high performance computing demands. Learn more »
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By using AWS, Lyft Level 5 was able to scale their autonmous vehicle (AV) simulations, increase the velocity of their AV developments, and reduce their compute costs by two-thirds. Learn more »
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Using AWS, Dallara built an HPC system that met its benchmarks for performance and cost, leading the company to continue designing some of the world’s fastest and most aerodynamic vehicles such as Indy and Formula race cars. Learn more »
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Wisk Aero built HPC clusters on AWS running complex computational fluid dynamics (CFD) simulations with 10-20% improvement in job runtime. Learn more »
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Reezocar uses ML and computer vision to automatically calculate repair costs by analyzing images of each vehicle in 90 ms or less using HPC on AWS. Learn more »
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PLANA transformed design processes for its advanced air mobility vehicle while reducing simulation costs by using AWS HPC services to deploy and manage HPC clusters. Learn more »
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University of Michigan Solar Car Team has developed the Astrum solar-powered vehicle from scratch all the way from first concept to parts manufacturing, assembling, and vehicle testing with help from HPC on AWS. Learn more »
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Universities & Academia (Research Computing)
UC Santa Cruz Genomics Institute
Learn how UC Santa Cruz Genomics Institute was able to process samples faster and securely get results to collaborators using AWS.
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Baylor College of Medicine
Baylor College of Medicine was able to create a central and secure location for storing hundreds of terabytes of genomic data and complete its own studies 5x faster than with their local infrastructure.
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The Guttman Lab at the California Institute of Technology
The Guttman Lab at the California Institute of Technology uses an AWS-based HPC cluster to quickly add new compute nodes, analyze genomic sequencing data in days instead of weeks.
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Penn State
By moving its research portal to AWS, Penn State made it easy for 6,000 researchers worldwide to design more than 50,000 synthetic DNA sequences, using Penn State’s design methods and optimization algorithms.
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University of California Berkeley
The Algorithms, Machine, and People (AMP) Lab at the University of California Berkeley leverages Amazon Web Services (AWS) to quickly scale the compute resources needed to analyze the algorithms that are used in genomics work.
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The HPC facility of the New York University (NYU) Center for Health Informatics and Bioinformatics uses AWS to allow medical informatics and bioinformatics researchers to share data and enable research computing needs that exceed local capacity limits.
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San Francisco State University researchers were able to complete research that previously would have taken them weeks in just hours while reducing computing costs by using Amazon EC2 and machine learning techniques
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The High Energy Accelerator Research Organization (KEK) in Japan leveraged Amazon Web Services (AWS) to construct a high performance computing (HPC) environment. This HPC environment provides services to analyze data obtained from synchrotron radiation beamlines and cryogenic electron microscopes for universities and private businesses.
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Weather
Weathernews moved their weather research and forecasting simulations from on-premises top the cloud and produced unprecedented high-resolution forecasts, boasting 10-minute forecast intervals up to 15 hours ahead. Learn more »
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Learn how Maxar leveraged AWS HPC products and services to produce weather forecasts 58% faster than the NOAA weather supercomputer. Learn more »
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The Finnish Meteorological Institute (FMI), an environmental government agency, uses the cloud to distribute open data and operate data services with higher availability and scalability. Learn more »
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The Royal Netherlands Meteorological Institute (KNMI) is the Dutch national weather service and a partner in the EUNADICS-AV project, that moved their atmospheric data processing to AWS. Learn more »
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WillyWeather is one of Australia’s largest weather prediction providers, and also serves users in the UK and US.. he company has been using Amazon Web Services (AWS) since 2018 and reached out to AWS to help develop its nowcasting alert system. Learn more »
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DTN specializes in the analysis and delivery of timely weather, agriculture, energy, and other information. Using HPC on AWS, DTN increased high-resolution model frequency from two to four runs per day, and it rendered 1 hour of forecast data in under 1 minute in a test scenario, delivering more-timely insights. Learn more »
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Advertising and Marketing
Ampersand runs complex ML workloads to provide television advertisers with aggregated viewership insights and predictions for over 40 million households. Ampersand needed a way to ingest 200,000 data partitions and provide optimized recommendations to support its customers’ television advertisement campaigns at scale. Learn more »
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