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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In this blog post, we help you understand the AWS Batch job termination process and how you may take actions to gracefully terminate a job by capturing SIGTERM signal inside the application. It provides you with an efficient way to exit …
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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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Ampersand is a data-driven TV advertising technology company that provides aggregated TV audience impression insights and planning on 42 million households, in every media market, across more than 165 networks and apps and in all dayparts …
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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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