Machine Learning is a huge workload, and one of the most demanding when it comes to scaling to thousands (and thousands) of CPUs. Some of the largest workloads customers run in the cloud are deep learning models, which require huge numbers …
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In this blog post, we’ll show how you can run NVIDIA Parabricks on AWS Batch leveraging AWS CloudFormation templates. Parabricks is a GPU-accelerated tool for secondary genomic analysis. It reduces the runtime of variant calling on a 30x …
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The Ampersand Data Science team had a challenge: their Bayesian statistical models needed more than half a million core-hours of runtime, regularly, if they were to get an answer fast enough for it to be useful to their customers. Scaling …
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The AWS Batch team recently added container insights and advanced logging features to the Batch console, which is making a LOT of people very happy. We decided to catch up with the dev team in Seattle who worked on this, and one of my …
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In this blog post, we cover how to run GROMACS – a popular open source designed for simulations of proteins, lipids, and nucleic acids – cost effectively by leveraging EC2 Spot Instances within AWS ParallelCluster. We also show how to …
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Olly Perks - our resident Arm64 architecture expert and all round HPC software guy - walks us through the quite extensive support for HPC developers who are planning to work on AWS Graviton processors. There’s a lot of software and it …
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Olly Perks - our resident Arm64 architecture expert and all round HPC software guy - walks us through the quite extensive support for HPC developers who are planning to work on AWS Graviton processors. There’s a lot of software and it …
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This is the second part of a two-part set about the Winter Invitational Student Cluster Competition, which the AWS HPC team supported as one of four mentor teams. This isn’t just about the competition or the results. It’s about …
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