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. Read the …
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Choosing the right AWS instance type can be tricky. We’ll show you how to inspect & tune app performance across architectures using MAQAO framework & a molecular dynamics app as an example. Read our new blog for optimization tips! …
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Genomics community: rejoice! Seqera + AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers (on the fly if you wish) for your workflows – in the cloud or not, using Nextflow, or not. …
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If you run molecular dynamics simulations, you need to read this. We walk through running benchmarks of popular apps like GROMACS and LAMMPS on new Hpc7g instances and Graviton3E processors. The results – up to 35% better vector performance …
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Check out this post to learn how linter rules for Nextflow’s DSL can help you catch errors in your workflows before runtime, which means greater developer productivity, which leads directly to a faster time to science. Read the Post on the …
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In this new post, we discuss pre-training ESM-1nv for protein language modeling with NVIDIA BioNeMo on AWS. Learn how you can efficiently deploy and customize generative models like ESM-1nv on GPU clusters with ParallelCluster. Whether …
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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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