AWS HPC Customer Success Stories
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)
Aionics accelerates battery electrolyte discovery with AWS Parallel Computing Service, running plane-wave DFT and GPU-accelerated molecular dynamics on fully managed HPC clusters.
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.
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.
Computer Aided Engineering (CAE) & Electronic Design Automation (EDA), continued
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.
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.
Computer Aided Engineering (CAE) & Electronic Design Automation (EDA), continued
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.
Innovium used AWS to remove the compute scalability barrier, so that they can focus exclusively on product innovations.
Amazon Prime Air ran Simcenter STAR-CCM+ with AWS ParallelCluster and Elastic Fabric Adapter to run their CFD simulations on AWS.
Healthcare and Life Sciences
Healthcare and Life Sciences, continued
Healthcare and Life Sciences, continued
Energy
Hess uses AWS to ingest Seismic data at massive scale and improve productivity of their engineers.
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.
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.
Financial Services
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.
AWS provides DriveAI the ability to seamlessly scale as their business grows, and the capability to handle their high performance computing demands.
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.
