AWS HPC Blog
Tag: AWS ParallelCluster
How Rivian modernized engineering simulation using 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) (Credits: Rivian media kit) In this post, we share how Rivian, a leading electric vehicle manufacturer, revolutionized their engineering simulation capabilities by migrating to AWS and […]
How Proteros accelerates drug discovery by using AWS ParallelCluster
Proteros is a leader in structure-based drug discovery solutions, and supports pharmaceutical, biotechnological, and academic clients with advanced technologies like Cryogenic Electron Microscopy (Cryo-EM) and Protein Crystallography (PX). In this blog post, we’ll explore how Proteros implemented an HPC solution that scales with their scientific ambitions. We’ll talk about how they started with a secure […]
Meet the Advanced Computing team of AWS at SC25 in St. Louis
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: Your Complete Guide to High Performance Computing Sessions
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 […]
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 […]
Integrating Research and Engineering Studio in Trusted Research Environments built on AWS
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.
Accelerating file reads with a storage caching server
Looking to boost storage performance for your #HPC workloads on AWS? Find out how to build a high-speed EC2 cache for under $4/hour that’s fit for purpose in this new blog post.
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!
Improve engineering productivity using AWS Engineering License Management
This post was contributed by Eran Brown, Principal Engagement Manager, Prototyping Team, Vedanth Srinivasan, Head of Solutions, Engineering & Design, Edmund Chute, Specialist SA, Solution Builder, Priyanka Mahankali, Senior specialist SA, Emerging Domains For engineering companies, the cost of Computer Aided Design and Engineering (CAD/CAE) tools can as high as 20% of product development cost. […]
Building your digital twin solution using the Digital Twin Framework on AWS
This post was contributed by Jeremiah Habets, Ross Pivovar, Pramod Daya, Pallavi Chari, and Adam Rasheed from AWS Customers tell us that they’re increasingly seeking holistic digital twin solutions spanning IoT, spatial computing, and predictive modeling domains. Integrating these diverse technical stacks presents challenges for builders. In a prior post, we described a four-level Digital […]