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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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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Today we are announcing that Amazon Elastic Container Service (Amazon ECS) supports an integration with Amazon Elastic Block Store (Amazon EBS), making it easier to run a wider range of data processing workloads. You can provision Amazon …
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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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This post was contributed by Orang Vahid (Dir of Engineering Services) and Kayla Rossi (Application Engineer) at Maplesoft, and Ross Pivovar (Solution Architect) and Adam Rasheed (Snr Manager) from Autonomous Computing at AWS One of the …
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Today, we are announcing the preview of Amazon Q, a new type of generative artificial intelligence (AI) powered assistant that is specifically for work and can be tailored to a customer’s business. Amazon Q brings a set of capabilities to …
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