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, Nicole Hemsoth Prickett chats with Jeff Denworth, co-founder of VAST Data, about why the Big Data hype of Hadoop is now ancient history—and how the real story is quietly exploding around metadata. They explore how the seemingly humble metadata concept has transformed into something vast and complicated, driven by the rise of AI, vectors, and deep-learning embeddings. Jeff reveals why traditional infrastructure struggles at exabyte scales, how vector databases underpin retrieval-augmented generative AI (RAG), and what companies can do right now to future-proof their systems for an increasingly agent-driven world. It’s a sharp, fast-moving tour through an AI landscape on the verge of metadata-induced chaos, raising deep questions about who (or what) will own the enterprise workforce of tomorrow.
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.
