AWS HPC Blog
Tag: Containers
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 […]
Guided multi-objective generative AI for drug design
Transforming computer-aided drug design: see how SandboxAQ leverages AWS and generative AI to explore chemical space, more intelligently generating drug candidates.
Running FSI workloads on AWS with YellowDog
Financial services firms: we stress-tested YellowDog’s HPC environment to see if it could handle a 10m task batch at 3,000 tasks per second. Check out the results.
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.
Harnessing the scale of AWS for financial simulations
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.
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.
Announcing: Seqera Containers for the bioinformatics community
Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.
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.
Diving Deeper into Fair-Share Scheduling in AWS Batch
Today we dive into details of AWS Batch fair share policies and show how they affect job placement. You’ll see the result of different share policies, and hear about practical use cases where you can benefit from fair share job queues in Batch.