Shared Everything is VAST Data’s editorial and thought leadership platform, spotlighting the technical frontlines of AI infrastructure, datacenters, and cloud architecture. Through in-depth interviews, expert-led discussions, and narrative-driven content, we explore how the most advanced organizations are architecting for the Agentic Age—where AI, data, and compute converge. Whether it's the latest in GPU optimization, multitenancy design, or the future of data orchestration, we dive deep into the systems and strategies shaping tomorrow’s digital landscape.
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Shared Everything is VAST Data’s editorial and thought leadership platform, spotlighting the technical frontlines of AI infrastructure, datacenters, and cloud architecture. Through in-depth interviews, expert-led discussions, and narrative-driven content, we explore how the most advanced organizations are architecting for the Agentic Age—where AI, data, and compute converge. Whether it's the latest in GPU optimization, multitenancy design, or the future of data orchestration, we dive deep into the systems and strategies shaping tomorrow’s digital landscape.
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.
Shared Everything
Shared Everything is VAST Data’s editorial and thought leadership platform, spotlighting the technical frontlines of AI infrastructure, datacenters, and cloud architecture. Through in-depth interviews, expert-led discussions, and narrative-driven content, we explore how the most advanced organizations are architecting for the Agentic Age—where AI, data, and compute converge. Whether it's the latest in GPU optimization, multitenancy design, or the future of data orchestration, we dive deep into the systems and strategies shaping tomorrow’s digital landscape.
