Tag: Amazon FSx for Lustre

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 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 […]

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 […]

AWS Parallel Computing Service now supports AWS CloudFormation, enabling you to deploy and scale HPC workloads as code. Check out our open-source HPC Recipes Library for quick cluster deployments.

Explore how Research and Engineering Studio on AWS (RES) enables admins to build Trusted Research Environments (TREs) with built-in security and compliance controls. Learn more in our latest blog post.

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.

Learn how to deploy AI models at scale with @AWS using NVIDIA’s NIM and Amazon EKS! This step-by-step guide shows you how to create a GPU cluster for inference. Don’t miss part 1 of this 2-part blog series!

You can boost the performance of your compute grids by strategically distributing your binaries. Our experts looked at lots of strategies for fast & efficient compute grid operations – to save you some work.

Aerospace and automotive companies are speeding up their product design using AI. In this post we’ll discuss how they’re using machine learning to shift design cycles from hours to seconds using surrogate models.