Scaling life sciences research by deploying AWS ParallelCluster and AWS DataSync | Amazon Web Services

Scaling life sciences research by deploying AWS ParallelCluster and AWS DataSync | Amazon Web Services

In life sciences research, managing large-scale computational resources and data efficiently is important for success. However, traditional on-premises environments often struggle to meet these requirements effectively. This post demonstrates how JSR Corporation transformed their research infrastructure using AWS ParallelCluster and AWS DataSync, achieving a 33% reduction in CPU usage and 85% in storage requirements. JSR’s research teams now spend more time on genomics and medical research. In this blog post, Yoshimasa Aoto from the JSR-Keio University Medical and Chemical Innovation Center (JKiC) shares their challenges and the benefits of adopting AWS.

JSR’s life sciences business initiatives

JSR’s academic-industrial research facility aims to expand drug discovery and development support services through medical and biological research using novel modalities. Their bioinformatics and medical informatics research require significant computational…

https://aws.amazon.com/blogs/hpc/scaling-life-sciences-research-by-deploying-aws-parallelcluster-and-aws-datasync/