{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fshared-everything.simplecast.com%2Fepisodes%2Fthe-new-shape-of-life-sciences-systems-_3PfqyRc","width":444,"version":"1.0","type":"rich","title":"The New Shape of Life Sciences Systems ","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/ffdb3e35-ef24-4933-8ca3-b2448234e81f/b597f6ee-b37b-4aa7-a060-ea8f97cc9431/set-dark-stacked.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/3283804b-ec7c-4119-aff9-d61ed3059376\" height=\"200\" width=\"100%\" title=\"The New Shape of Life Sciences Systems \" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"In this episode of Shared Everything, Dr. Subramanian Kartik traces the tectonic shifts in computational infrastructure driven by the rise of life sciences as a data-intensive domain. From the advent of long-read nanopore sequencing to the seismic influence of AlphaFold and cryo-EM, Kartik outlines a field no longer tethered to traditional HPC assumptions. As genomic data explodes and microscopes spill out petabytes, he argues, the industry must abandon legacy parallel file systems in favor of architectures purpose-built for random I/O, GPU-rich workflows, and relentless uptime. Storage isn’t a peripheral—it’s the platform. What’s emerging, Kartik suggests, is a model-native science built on new languages of biology: proteins, base pairs, and the in silico folding of life itself."}