AWS HPC Blog
Category: AWS Batch
How Amazon optimizes their supply chain with help from AWS Batch
This post was contributed by Michael Stalcup, Software Development Engineer at Amazon, and Angel Pizarro, Principal Developer Advocate at AWS. Amazon’s retail business, with its millions of products coming from hundreds of thousands of sellers, is in a constant state of optimization. It’s no surprise that there is team whose core mission is to provide […]
Large scale, cost effective GROMACS simulations using the Cyclone Solution from AWS
Proteins hold the secrets of life, if only we can study them in sufficient detail. Learn how a team at Max Planck leveraged AWS Spot Instances with Cyclone to run massive GROMACS simulations and push the boundaries of biophysics.
Gang scheduling pods on Amazon EKS using AWS Batch multi-node processing jobs
AWS Batch multi-node parallel jobs can now run on Amazon EKS to provide gang scheduling of pods across nodes for large scale distributed computing like ML model training. More details here.
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.
Simulating autonomous mining operations using Robotec.ai on AWS
Big changes are underway in mining – see how the Boliden Group simulates fleets of autonomous trucks using AWS Batch – for safety and efficiency.
How vertical scaling and GPUs can accelerate mixed media modelling for marketing analytics
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 […]
Job queue snapshots: see what’s at the head of your queues in AWS Batch
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.
Building an AI simulation assistant with agentic workflows
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.
Run simulations using multiple containers in a single AWS Batch job
Run simulations using multiple containers in a single AWS Batch job Matthew Hansen, Principal Solutions Architect, AWS Advanced Computing & Simulation Recently, AWS Batch launched a new feature that makes it possible to run multiple containers within a single job. This enables new scenarios customers have asked about like simulations for autonomous vehicles, multi-robot collaboration, […]
Introducing new alerts to help users detect and react to blocked job queues in AWS Batch
Heads up AWS Batch users! Learn how to get notifications when your job queue gets blocked so you can quickly troubleshoot and keep your workflows moving. Details in our blog.