Category: AWS ParallelCluster

AWS is investing in researcher training with new learning plans for HPC, quantum, stats, AI/ML & generative AI. Check out the details!

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.

How might AI change the rules of the energy game? A new post explores using large language models to power smarter, more adaptive agents in an energy supply chain simulation. Learn how LLMs could enable more nuanced decision-making behaviors.

Check out this new post to learn about identity options for Research and Engineering Studio on AWS. Understanding choices for SAML IdPs and Active Directory will help you plan secure VDI access.

Our team engineered some Open MPI optimizations for EFA to enhance performance of HPC codes running in the cloud. By improving MPI_AllReduce they improved scaling – matching commercial MPIs. Tests show gains for apps including Code Saturne and OpenFOAM on both Arm64 and x86 instances. Check out how these tweaks can speed up your HPC workloads in the cloud.

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 […]

Check out this post to learn how Lightmatter leveraged AWS tools like Research and Engineering Studio (RES) and AWS ParallelCluster to meet demanding computational requirements for electronic design.

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.

Need to cut your carbon footprint without sacrificing productivity? Migrating HPC workloads to the cloud allowed Baker Hughes to reduce emissions by 99%! Get tips for optimizing compute, storage, networking so you can do better.

Want insights on running HPC codes efficiently on AWS? Our HPC specialists compiled their know-how into a new public GitHub repo. Get best practices, templates, scripts and more to optimize your workloads.