AWS HPC Blog
Tag: visualization
Customizing your HPC environment: building AMIs for AWS Parallel Computing Service
Don’t settle for one-size-fits-all HPC. Unlock the power of custom AMIs in AWS Parallel Computing Service. Discover why tailored images are crucial for security, performance, and your workflows
Near-real-time energy production forecasts with NVIDIA Earth-2 and AWS Batch
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.
Securing HPC on AWS – isolated clusters
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 […]
Jumpstart your HPC journey with the AWS Parallel Computing Service getting started kit
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.
Improve HPC workloads on AWS for environmental sustainability
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.
Call for participation: HPC tutorial series from the HPCIC
Interested in getting hands-on experience with cutting-edge HPC tools? Check out this blog post on an upcoming virtual training series from @LLNL and @AWSCloud. Learn emerging technologies from the experts this August.
Integrating Research and Engineering Studio with AWS ParallelCluster
Researchers, engineers & scientists – learn how to leverage AWS ParallelCluster with Research & Engineering Studio for a full-featured cloud workspace. Read this post for details on this new integration.
Securing HPC on AWS: implementing STIGs in AWS ParallelCluster
Want to accelerate creating compliant Amazon EC2 images? Learn how HPC users can leverage cloud-native methods for applying STIG security standards.
Using machine learning to drive faster automotive design cycles
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.
New: Research and Engineering Studio on AWS
Today we’re announcing Research and Engineering Studio on AWS, a self-service portal to help scientists and engineers access and manage virtual desktops to see their data and run their interactive applications in the cloud.