This post was contributed by Kambiz Shahim, Ankit Kalyani, and Chris Wright. Oxford Nanopore Technologies used Mountpoint for Amazon S3, AWS Batch, and Nextflow to build EPI2ME Cloud, a managed compute environment for processing human …
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This post was contributed by Ronald Hudson and Nate Haynes High Performance Computing (HPC) on AWS demands precise monitoring, like the racing telemetry used by Formula 1 teams to deliver results. Like race engineers tracking car …
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This post was contributed to by Zia Mohammad, Scott Smart, Yuvraj Mohan, Mike Piech, and Rebecca Malamud Figure 1: A Rigetti quantum processing unit (QPU) inside a dilution refrigerator. Photo by Drew Bird. Amazon Braket enables customers …
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Amazon Redshift RG instances, powered by AWS Graviton, run data warehouse and data lake workloads up to 2.4x as fast as RA3 instances at 30% lower price per vCPU. Its integrated data lake query engine supports open table formats such as …
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This post was contributed by Kirill Bogdanov (Pr. Solutions Architect at AWS) and Alan Parry, (CTO at YellowDog). Large-scale compute grids sit at the heart of modern financial services operations. They power overnight batch runs for …
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This post was contributed by Stefan Dittforth and Michael Mueller Introduction Oxford Nanopore Technologies (ONT) sequencing enhances genome analysis in research and healthcare with its ability to produce long-read sequencing data in …
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For nearly two decades, organizations across healthcare, drug discovery, and financial services have relied on SAS Grid to power their most critical analytics workloads. SAS Grid (formally known as SAS Grid Manager) is an enterprise …
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When customers choose to run self-managed Oracle databases in the cloud, one of the fundamental decisions they make is where to store their data. Although many deployments use locally attached block storage, there’s a compelling …
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