AWS HPC Blog

Category: Amazon EC2

High Throughput Scheduling for Financial Services with YellowDog HTS on AWS

This post was contributed by Kirill Bogdanov (Pr. Solutions Architect at AWS) and Alan Parry, (CTO at YellowDog). Large-scale compute grids sit at the heart of modern financial services operations. They power overnight batch runs for regulatory risk and prepare traders for the coming day. During trading, the same grids drive intraday ‘value at risk’ […]

Cost-effective and scalable Oxford Nanopore Technologies primary analysis with Nextflow and Amazon EC2 G Instances

This post was contributed by Stefan Dittforth and Michael Mueller Introduction Oxford Nanopore Technologies (ONT) sequencing enhances genome analysis in research and healthcare with its ability to produce long-read sequencing data in real-time. Long reads improve our ability to detect structural variation, resolve repetitive regions, perform haplotype phasing and analyze full-length transcripts, providing a more […]

A Technical Deep Dive into Amazon EC2 Hpc8a Performance for Engineering and Scientific Workloads

High performance computing (HPC) workloads continue to grow in scale and complexity. Whether simulating airflow over an aircraft wing, modeling structural behavior under load, or performing crash simulation and multi-physics analysis, these workloads demand sustained compute throughput, high memory bandwidth, and efficient scaling across large clusters. Improvements in any one of these dimensions can reduce […]

Scaling life sciences research by deploying AWS ParallelCluster and AWS DataSync

In life sciences research, managing large-scale computational resources and data efficiently is important for success. However, traditional on-premises environments often struggle to meet these requirements effectively. This post demonstrates how JSR Corporation transformed their research infrastructure using AWS ParallelCluster and AWS DataSync, achieving a 33% reduction in CPU usage and 85% in storage requirements. JSR’s […]

AWS at SC25 - Meet the Advanced Computing team at Booth #2207

Meet the Advanced Computing team of AWS at SC25 in St. Louis

We want to empower every scientist and engineer to solve hard problems by giving them access to the compute and analytical tools they need, when they need them. Cloud HPC can be a real human progress catalyst. If you run large scale simulations, tune complex models, or support researchers who consistently need more compute, the […]

AWS re:Invent 2025: Your Complete Guide to High Performance Computing Sessions

AWS re:Invent 2025 returns to Las Vegas, Nevada on December 1, uniting AWS builders, customers, partners, and IT professionals from across the globe. This year’s event offers you exclusive access to compelling customer stories and insights from AWS leadership as they tackle today’s most critical challenges in high-performance computing, from accelerating scientific discovery to optimizing […]

Petrobras optimizes cost and capacity of HPC applications with Amazon EC2 Spot Instances

Discover how Petrobras and Universidade Federal Fluminense (Rio de Janeiro — Brazil) developed an innovative HPC solution on AWS, leveraging Spot Instances to optimize costs. Explore the automations in place to avoid interruptions and use the lowest-cost instances available.

Cost-effective and accurate genomics analysis with Sentieon on AWS

In this blog post, we benchmark the performance of Sentieon’s DNAseq and DNAscope pipelines using publicly available genomics datasets on AWS. You will gain an understanding of the runtime, cost, and accuracy performance of these germline variant calling pipelines across a wide range of Amazon EC2 instances.

Figure 1: Comparison of simulation performance for the Le Mans test case run with Open MPI and Intel MPI. Intel MPI offers better performance compared to Open MPI.

Simcenter STAR-CCM+ price-performance on AWS

Organizations such as Amazon Prime Air and Joby Aviation use Simcenter STAR-CCM+ for running CFD simulations on AWS so they can reduce product manufacturing cycles and achieve faster times to market. In this post today, we describe the performance and price analysis of running Computational Fluid Dynamics (CFD) simulations using Siemens SimcenterTM STAR-CCM+TM software on AWS HPC clusters.