AWS HPC Blog

In marketing analytics, mixed media modeling (MMM) is a machine learning technique that combines information from various sources, like TV ads, online ads and social media to measure the impact of marketing and advertising campaigns. By using these techniques, businesses can make smarter decisions about where to invest their money for advertising, helping them get […]

Struggling with long compute times for numerical simulations in finance? See how AWS makes it simple to leverage the cloud for large-scale financial modeling. We walk through a real example using QuantLib and Monte Carlo methods.

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.

AWS Batch just grew a neat new feature: Job queue snapshots. This gives you the visibility you need for managing throughput in a dynamic environment – with competing priorities – and across multiple queues and workloads. Today we give you the inside scoop on how this feature works – especially when you’re using fair share scheduling.

Hundreds of millions of products, the entire *first-mile* of distribution – learn how Amazon simulated their massive US supply chain, end-to-end, with help from a company called Simudyne.

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.

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.

Want to accelerate creating compliant Amazon EC2 images? Learn how HPC users can leverage cloud-native methods for applying STIG security standards.

Launching distributed GPT training? See how AWS ParallelCluster sets up a fast shared filesystem, SSH keys, host files, and more between nodes. Our guide has the details for creating a Slurm-managed cluster to train NeMo Megatron at scale.

Simulations provide critical insights but running them takes specialized people, which can slow everyone down. We show how a Simulation Assistant can use LLMs and agents to start these workflows via chat so you can get results sooner.