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. ٣ يناير

    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.

    ٢٧ من الدقائق

  2. ٠٤‏/١٢‏/٢٠٢٥

    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.

    ٣٨ من الدقائق

  3. ٠٥‏/١١‏/٢٠٢٥

    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.

    ٢٢ من الدقائق

  4. ٢٤‏/١٠‏/٢٠٢٥

    From Cloud to Cosmos: Jason Vallery on Building the Next Generation of AI Infrastructure

    On today’s episode of the Shared Everything podcast, Nicole talks to Jason Vallery, who just joined VAST after a 13-year career at Microsoft where he helped build the Azure cloud from the ground up. Jason reflects on the early days of object storage and cloud-native computing, when scaling from petabytes to exabytes redefined what infrastructure meant, and explains how lessons from Azure’s hyperscale era now shape his vision for VAST’s role in the AI age. He talks about the convergence of file and object systems, the evolution of AI storage built for thousands of GPUs, and the industry’s pivot from “data gravity” to a world where compute follows power and data must follow compute. Together, they trace how public cloud principles birthed the AI supercomputers of today and how the next wave of disaggregated, multi-cloud “neo clouds” will demand architectures that look a lot like what VAST is building

    ١٤ من الدقائق

  5. ٢١‏/١٠‏/٢٠٢٥

    Data Proximity and the Quantum Architecture of Tomorrow

    In this episode Nicole talks to Chris Powell, Chief Scientist at SAIC, and Kartik, Chief Scientist at VAST Data, about how the foundations of supercomputing are being rewritten by quantum advances, new architectures, and the collapse of distance between data and compute. Together they explore what happens when data becomes the environment of computation itself, how proximity and randomness define the next frontier, and why the systems of the future will think exactly where the information lives.

    ٣٠ من الدقائق

  6. ١٥‏/١٠‏/٢٠٢٥

    From AlphaGo to Surfer H: The New Frontier of AI Agents for All

    In this episode Nicole talks to Laurent Sifre, co-founder and CTO of H Company and former DeepMind scientist behind AlphaGo, AlphaFold, and Chinchilla. They explore how his discoveries in model scaling shaped the design of H Company’s computer-use agents, including the Surfer H platform that learns to navigate software through perception and action instead of APIs. The conversation dives into data infrastructure, distributed KV caching, sovereign compute, and why the future of automation depends on smaller, specialized models that act in the real digital world.

    ١٩ من الدقائق

  7. ٣٠‏/٠٩‏/٢٠٢٥

    The Future of Reasoning Models and AI Infrastructure

    In this episode of the Shared Everything, reasoning models take center stage. No longer just text predictors, they now loop, branch, and drag in outside data, which blows open context windows and GPU limits. Alon Horev, CTO of VAST Data, unpacks how this shift strains infrastructure, while Kevin Deierling, SVP of Networking at NVIDIA, explains how NVIDIA Dynamo moves KV caches and workloads across GPUs, networks, and storage to keep agentic workflows moving. Data platforms become an extension of memory, enabling longer chains of thought, real-time agents, and secure, observable data paths. The result is a vivid picture of the AI datacenter as the nervous system for reasoning at scale.

    ٣٢ من الدقائق

  8. ٠٤‏/٠٩‏/٢٠٢٥

    Building the Secure AI Factory: Cisco, NVIDIA, and VAST Rewire the Enterprise Datacenter

    On this episode, Nicole sits down with Danny McGinniss, VP of Product Management for Cisco Compute, Jacob Liberman, Director of Enterprise Product at NVIDIA, and John Mao, VP of Business Development and Alliances at VAST, to pull apart what it really means when three of the biggest forces in infrastructure line up behind the Cisco Secure AI Factory with NVIDIA, an architecture that brings together Cisco’s compute and networking, NVIDIA AI Data Platform, and VAST InsightEngine. The episode walks through the reimagining the datacenter as an AI factory where security, storage, speed, and data gravity collide to make enterprise AI real.

    ٣٤ من الدقائق
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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.

المعلومات

  • صناع العمل
    Nicole Hemsoth Prickett
  • سنوات النشاط
    ٢٠٢٥ - ٢٠٢٦
  • الحلقات
    ٢٠
  • التقييم
    ملائم
  • حقوق النشر
    © 2025 VAST
  • موقع البرنامج على الويب
    Shared Everything