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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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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Looking to maximize performance on AWS’s latest HPC instances? Today we dive into the technical details of how the hpc7a instance type is architected. Stephen Sachs from our HPC performance engineering team explains how understanding …
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In research and development, visualization is important - so why is it so hard to set up a visual desktop? Customers told us it needed to be easier, better managed, and generally safer for their users… and their data. So today …
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The year is coming to an end, and there are only 50 days until Christmas and 21 days to AWS re:Invent! If you are in Las Vegas, come and say hi to me. I will be around the Serverlesspresso booth most of the time. Last week’s launches Here …
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Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity …
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