AWS HPC Blog
Category: AWS ParallelCluster
Resilient HPC and ML on AWS: Running Tightly Coupled Workloads on Spot Instances
This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. This post was contributed by Santosh Kumar, Bhagyaraju Kasina, Dr. Sandeep Sovani and Dr. Max Starr Researchers and engineering teams running High Performance Computing (HPC) jobs face a constant […]
Scaling life sciences research by deploying AWS ParallelCluster and AWS DataSync
This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. 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 […]
How Rivian modernized engineering simulation using AWS
This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. This post was contributed by Ameya Kamerkar (Rivian), Vikram Pendyam (Rivian), Abhishek Chauhan (Rivian), Ajay Paknikar (AWS), Sandeep Sovani (AWS) Figure 1. Rivian’s custom Amazon Electric Delivery Vehicle (EDV) […]
AWS re:Invent 2025: Your Complete Guide to High Performance Computing Sessions
This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. 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 […]
What’s the difference between AWS ParallelCluster and AWS Parallel Computing Service?
This post references AWS ParallelCluster. Check out AWS Parallel Computing Service (AWS PCS), our new managed Slurm service for running HPC and AI workloads on AWS. It’s been a year since we announced AWS Parallel Computing Service (PCS). In a way this is the third generation of Slurm-based HPC orchestrators that we’ve brought to you. […]
AI-Enhanced Subsurface Infrastructure Mapping on AWS
Subsurface infrastructure mapping is crucial for industries ranging from oil and gas to environmental protection. Our groundbreaking approach combines advanced magnetic imaging with physics-informed AI to provide unparalleled visibility into hidden structures, even when traditional methods fall short. Explore how this fusion of cloud computing and AI is opening new possibilities for subsurface exploration and management.
Optimizing HPC workflows with automatically scaling clusters in Ansys Gateway powered by AWS
Ansys Gateway powered by AWS now has an integration with AWS ParallelCluster to enable users deploy on-demand HPC clusters for running Ansys simulations on AWS. This allows engineers to run large-scale simulations efficiently while optimizing cloud costs by dynamically adjusting resources based on simulation workload requirements. In this blog post, we describe the architecture, workflow, and Amazon EC2 recommendations for running Ansys applications in Ansys Gateway.
Predict the unpredictable: Disrupting drug lead optimization using quantum mechanics simulation in the cloud
Quantum mechanics meets drug discovery: QSimulate’s latest advancements in QM-based FEP simulation are poised to transform the industry. Our blog post takes you on a journey through the groundbreaking science and innovative software that are redefining the future of drug design.
Advancing research in the cloud: AWS announces expanded training resources
AWS is investing in researcher training with new learning plans for HPC, quantum, stats, AI/ML & generative AI. Check out the details!
Cross-account HPC cluster monitoring using Amazon EventBridge
Managing extensive HPC workflows? This post details how to monitor resource consumption without compromising security. Check it out for a customizable reference architecture that sends only relevant data to your monitoring account.








