BioTeam’s Ari Berman, Chris Dagdigian and Aaron Gardner recently sat with HPCWire for an in-depth, two part interview to discuss HPC trends in Life Sciences.
Part 1 addresses infrastructure challenges including competitive diversity in CPU and GPU choices, the ubiquitous rise of data lakes and commons, and the state of networking – from optimizing security and bandwidth for growing cloud environments, to data sprawl and the corresponding system strain and storage bottlenecks driven by huge datasets.
The interview covers a wide array of mission critical core compute obstacles (and some insightful solutions) aimed to help biotech, pharma, academic and government organizations all struggling to meet the increasing demands of Life Sciences Research IT.
Part 1: HPC in Life Sciences Part 1: CPU Choices, Rise of Data Lakes, Networking Challenges, and More
