Interested in performing high-accuracy computational chemistry simulations faster? Check out this new post about Promethium, a solution from QC Ware that leverages AWS to accelerate simulations by up to 100x. Read the Post on the AWS Blog …
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Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we …
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In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines. Read the Post on the AWS …
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Fargate is almost like having a magical compute engine. You simply provide the container image and Fargate launches it for you in seconds. No servers to manage, no infrastructure to configure. Fargate auto-scales and load balances your …
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New OS-level checkpointing tools can let you run existing HPC codes on EC2 Spot instances with minimal impact from interruptions. Read on for the details. Read the Post on the AWS Blog Channel
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Are you looking for an easy way to build a powerful HPC environments on AWS? This video introduces HPC Recipes, a game-changing library of modular templates that makes it much easier to launch fully-configured HPC systems with just a few …
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No more guessing if GPU capacity will be available when you launch ML jobs! EC2 Capacity Blocks for ML let you lock in GPU reservations so you can start tasks on time. Learn how to integrate Caacity Blocks into AWS ParallelCluster to …
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If you work in the semiconductor industry with electronic design automation tools and workflows, this guide will help you build an HPC cluster on AWS specifically configured for your needs. It covers AWS ParallelCluster and customizations …
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