Shared Everything

Nicole Hemsoth Prickett

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.

  1. 3 gg fa

    The Economics of AI Beyond Earth

    On this episode of the Shared Everything podcast Nicole sits down with Dan Nishball, Ellie Holbrook, and Harley Blackard of SemiAnalysis to explore one of the most ambitious ideas in AI infrastructure: space datacenters. Using SemiAnalysis's orbital compute cost model and detailed report as a starting point, the conversation examines the real economics behind deploying AI infrastructure beyond Earth, including launch costs, cooling, hardware reliability, and power. Along the way, the group discusses the constraints already shaping AI growth on the ground, from semiconductor supply and grid access to labor, datacenter construction, and energy infrastructure. Rather than asking whether space datacenters are possible, the discussion focuses on a more practical question: under what conditions would they become economically rational?

    25 min

  2. 8 giu

    What It Looks Like at The End Of The HPC Storage Stack

    SciNet, one of Canada's primary academic supercomputing centers, recently deployed a new infrastructure platform built around AMD CPUs, H100 GPUs, NDR InfiniBand, and VAST Data. The deployment provides a useful look at how modern HPC environments are evolving as traditional simulation workloads increasingly share infrastructure with AI. In discussing the design, operation, and future direction of the system, CTO Daniel Gruner highlights the growing importance of data platforms that can simultaneously deliver performance, operational simplicity, security, and multi-tenant services across a diverse scientific computing environment.

    23 min

  3. 26 mag

    AI Meets DNA: Small Models, Big Data, Huge Impacts

    In this episode of the Shared Everything podcast, Derrick Harris speaks with Oxford Nanopore VP of Machine Learning Mike Vella about the company’s relatively unique approach to doing AI in the fast-moving field of genomics. From hand-programming CUDA kernels to dealing with the gigabyte per second of data coming off its DNA sequencers, Vella explains how his team balances the promise of fast, inexpensive sequencing with the realities of edge computing.

    31 min

  4. 29 apr

    Where Data Stops Being "Data" in Quantum Systems

    On this episode of the Shared Everything podcast from VAST, Nicole talks with Chris Powell, Quantum Information Science Lead at SAIC, about what “data” actually means in a quantum system. We move past storage and into representation, where problems have to be mapped into mathematical forms like Hamiltonian matrices and expressed directly into quantum hardware with no traditional memory or registers. We also delve into how hybrid architectures tie CPUs, GPUs, and QPUs together, why classical data infrastructure becomes more important rather than less so, and how quantum computing shifts the model from retrieving answers to shaping systems where answers emerge from probabilities.

    19 min

  5. 12 mar

    From Detection to Reasoning: Scaling the Infrastructure of Autonomous AI

    In this episode of the Shared Everything podcast, Nicole Hemsoth Prickett speaks with Norm Marks, VP of Automotive at NVIDIA, about how autonomous systems are evolving from detection to prediction and now reasoning-driven AI. Marks explains how that shift is driving massive increases in GPU scale, synthetic data generation, and simulation, forcing companies to rethink infrastructure as training pipelines expand across hybrid datacenter and cloud environments. The result is a new class of AI factories built to train and operate autonomy at industrial scale.

    20 min

  6. 3 gen

    Beating the Flash Crunch With Efficiency, Not Supply

    In this episode of Shared Everything, we sit down with Jeff Denworth, co-founder of VAST Data, and Scott Shadley of Solidigm to unpack what’s actually driving the current flash supply crunch. The conversation moves from NAND physics and fab constraints to hyperscaler buying behavior and the sudden surge in AI-driven demand, explaining why this cycle is fundamentally different from past downturns. At the center is a clear reality check for anyone building AI infrastructure right now: flash has become a limiting resource, and software efficiency and architecture now determine how much usable capacity the industry really has.

    27 min

  7. 04/12/2025

    How TACC Pushed Supercomputing Toward an IO-First Architecture

    On today's episode of the Shared Everything podcast, Nicole is live at SC25 with Dan Stanzione, Executive Director of the Texas Advanced Computing Center (TACC), for a look at why Horizon required a fundamental architectural reset. Stanzione explains how rising GPU power densities, liquid cooled 20 megawatt racks, and an increasingly irregular IO profile forced TACC to abandon long held assumptions about parallel filesystems. Years of watching billions of tiny files, unpredictable 4k and 64k reads, and metadata stalls slow entire machines led them to an all solid state tier and a VAST global namespace built for resilience, consistency, and shared access at scale. He describes how this model simplifies AI and hybrid scientific workflows, why the file system has always been the real point of failure, and how Horizon’s architecture reflects a world where IO, not FLOPS, determines what large scale science can do next.

    38 min

  8. 05/11/2025

    When Software Becomes a System: The Architecture Behind VAST 5.4

    In this episode Nicole talks to Jeff Denworth, Co-Founder of VAST Data, about the deep architectural shifts behind the 5.4 release, delving into how a new distributed runtime, native vector database, and event-driven compute layer transform VAST from a storage platform into a fully programmable AI operating system. Jeff explains how real-time vector inserts, parallelism without inter-node communication, and disaggregated shared-everything design make it possible to reason over data as it arrives, powering applications from Smart City analytics to trillion-scale AI pipelines.

    22 min
Elenco completo (25)

Descrizione

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.

Informazioni

  • Creatore
    Nicole Hemsoth Prickett
  • Anni di attività
    2025 - 2026
  • Puntate
    25
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    © 2025 VAST
  • Sito web del podcast
    Shared Everything

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