Tag: Research Computing

Using AWS Batch and NVIDIA Earth-2, we built a scalable workflow that explores millions of scenarios at a fraction of the cost of traditional methods. This innovative approach not only provides rapid energy calculations, but also shows the potential of AI-driven meteorology.

In this post, we’ll share two ways customers can operate HPC workloads using AWS ParallelCluster while completely isolated from the Internet. ParallelCluster supports many different network configurations to support a range of uses. When referring to isolation we mean situations where your HPC cluster is completely self-contained inside AWS, or where you have a private […]

AWS Parallel Computing Service reinvented HPC in the cloud. Learn how we combined familiar HPC tools with the flexibility of the cloud. And walk through what it is, and why it matters.

If designing next-gen vehicles or chasing cures is part of your job, don’t miss this. We just launched a major new HPC service to help you scale complex workloads rapidly. Get the details on how AWS Parallel Computing Service can speed up your R&D.

Reservoir simulation is critical for energy companies, but running scenarios can be time consuming. Find out how you can improve your SLB INTERSECT simulations by 10x with AWS.

Proteins hold the secrets of life, if only we can study them in sufficient detail. Learn how a team at Max Planck leveraged AWS Spot Instances with Cyclone to run massive GROMACS simulations and push the boundaries of biophysics.

Interested in boosting productivity for HPC users and admins? Read this post to learn how HPC Ops (infrastructure as code + CI/CD) delivers faster, more consistent infrastructure deployments and pain free experiences for your users.

Transforming computer-aided drug design: see how SandboxAQ leverages AWS and generative AI to explore chemical space, more intelligently generating drug candidates.

Learn how to configure email and SMS alerts for job events to stay on top of your HPC workloads with AWS ParallelCluster using Slurm.

AWS Batch multi-node parallel jobs can now run on Amazon EKS to provide gang scheduling of pods across nodes for large scale distributed computing like ML model training. More details here.