AWS HPC Blog
Optimizing undersea cables: how Orsted and AWS modeled seabed thermal properties
This post was contributed by Ross Pivovar, Rafał Ołdziejewski, Cindy Xin Qi Lee Offshore wind farms play a critical role in the global transition to renewable energy and clean power generation. But generating electricity is only half the battle—safely and efficiently transporting that power to the grid through undersea cables is equally important. Today, we’ll […]
October was busy for HPC in the cloud
It’s been a busy month in the world of HPC on AWS: we’ve seen new data sets, refinements to cluster operations, and deeper thinking about how workloads map to infrastructure. For our customers driving R&D with HPC, those changes matter (and yes, the nerd in me is quietly excited). In today’s post, we’ll tell you […]
What’s the difference between AWS ParallelCluster and AWS Parallel Computing Service?
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. We’ve learned much from helping customers deploy serious production workloads on AWS ParallelCluster, which itself grew from the foundations layed by CfnCluster – the open-source project […]
A scientific approach to workload-aware computing on AWS
HPC workloads demonstrate predictable resource patterns that can directly determine optimal cloud instance selection. To save you conducting extensive custom benchmarking, this blog post presents a data-driven methodology for instance selection based on established performance research. In this post, you’ll learn how to use coupling patterns to drive instance selection. We’ll outlines our scientific methodology […]
Dataset of protein-ligand complexes now available in the Registry of Open Data on AWS
This post was contributed by U. Deva Priyakumar, Rakesh Srivatsava, Prathit Chatterjee, Vladimir Aladinskiy, Ramanathan Sethuraman, Yusong Wang, Alex Iankoulski, and Beryl Rabindran Today, we’re excited to announce the release of a comprehensive dataset featuring molecular dynamics (MD) trajectories for over 16,000 protein-ligand complexes (PLCs). This dataset, now available on AWS as part of the […]
Announcing expanded support for Custom Slurm Settings in AWS Parallel Computing Service
Today we’re excited to announce expanded support for custom Slurm settings in AWS Parallel Computing Service (PCS). With this launch, PCS now enables you to configure over 65 Slurm parameters. And for the first time, you can also apply custom settings to queue resources, giving you partition-specific control over scheduling behavior. This release responds directly […]
Seamlessly burst EDA jobs to AWS using Synopsys Cloud Hybrid solution
Tired of waiting for your on-premises EDA tools to churn through those massive design files? Let the cloud take the strain! Synopsys and AWS have the horsepower to get your chips to market faster.
How DTN accelerates operational weather prediction using NVIDIA Earth-2 on AWS
Cyclone chasing just got a whole lot smarter! Check out how DTN’s AI-powered weather model is rewriting the forecast. Brace yourself for the future of weather prediction.
Announcing Capacity Blocks support for AWS Parallel Computing Service
This post was contributed by by Kareem Abdol-Hamid, Kyle Bush Today we’re happy to announce that support for Amazon EC2 Capacity Blocks for Machine Learning are now supported in AWS Parallel Computing Service (AWS PCS). This allows you to reserve and schedule GPU-accelerated Amazon EC2 instances for future use. That includes the NVIDIA Hopper GPU […]
Introducing “default” instance categories for AWS Batch
Today, we are launching a new set of instance family categories for AWS Batch, “default_x86_64” and “default_arm64″. These new categories represent both a clarification and an improvement upon the existing “optimal” instance type category. This blog post gives some background on the new feature and how you can configure your Batch environments to take advantage […]









