Nicole Hemsoth Prickett

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.

Autor

Nicole Hemsoth Prickett

Categoría

Technology

Último episodio

8 de jul. de 2026

¿Dónde escuchar?

Podcasts en la app Replaio Radio Muy pronto

Los podcasts llegarán muy pronto a la app. Instálala ahora y sé el primero en descubrir una forma totalmente nueva de vivir los podcasts

Descárgala en Google Play Instálala gratis Android 5 M+ de descargas · valoración de 4,8 iOS muy pronto

Episodios

AI Is Challenging the Old Efficiency Rules 16.05.2025

Jonathan Koomey—renowned researcher and the mind behind Koomey’s Law—joins to explore how AI is testing the limits of power infrastructure and computing efficiency. We dig into the history of data center energy use, the real implications of synthetic data, and why renewables—not nuclear—may be the only scalable path forward. Koomey offers a candid look at the rebound effect, cost allocation in the...

What Comes After Compute? An OS for AI 08.05.2025

This isn’t about faster servers or more storage; it’s about designing infrastructure for a new species of intelligent entities. In this episode, we explore how VAST Data is setting the stage for the AI-native cloud, where inference workloads take center stage, and agents form the nervous system of a new computational world.

Escucha el podcast Shared Everything en Replaio

Radio y podcasts en una sola app - gratis y sin registro. Instálala hoy y no te pierdas el estreno

Descárgala en Google Play

Replaio no es editor de podcasts; los nombres de los programas, las portadas y el audio pertenecen a sus autores y se distribuyen a través de canales RSS públicos