Shared Everything
Shared Everything
Podcast Description
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.
Podcast Insights
Content Themes
The podcast covers a range of topics including advancements in life sciences systems, AI sovereignty, supercomputing, digital twins, data infrastructure evolutions, and energy implications of AI. Examples of specific episodes include explorations of GPU optimization in genomics, the impact of sovereign clouds in Europe, and the future of supercomputing with AI-driven workloads.

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.
AI factories are changing what research computing looks like as HPC and AI converge around increasingly powerful, data-hungry infrastructure. HPC industry veteran and current head of the charge for research and education in the Americas at VAST, Chris Ginder, joins us to discuss how research institutions are approaching shared AI infrastructure, why GPUs alone don’t define an AI factory, and the storage, networking and data architecture required to keep those systems productive. The conversation explores what this shift means for traditional HPC environments and, ultimately, how researchers can turn massive compute capability into useful scientific work.

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