Beyond GPUs: What True AI-Native Infrastructure Really Means

Episode 2: AI Cloud Essentials Podcast

AI-native infrastructure is no longer optional for enterprises that want to scale AI reliably and cost effectively. In this episode, Ritu Jyoti sits down with Jacob Feldman to explain why GPUs alone aren’t enough to move models into production—and what true AI-native architecture actually requires.

The conversation breaks down the full AI stack, from high-performance networking and AI-optimized storage to orchestration, security, and observability. You’ll learn how each layer impacts speed, cost, and long-term ROI—and why general-purpose cloud infrastructure often creates the very bottlenecks AI teams are trying to eliminate.

Drawing on real-world experience with large-scale deployments, the episode outlines how the right architecture reduces training time, eliminates operational friction, and supports predictable scaling from pilot to production. If your organization is struggling with rising GPU costs, fragile workflows, or stalled AI initiatives, this discussion provides a clear blueprint for building AI systems that truly scale.

Podcast Guest:

Jacob Feldman, Lead Solution Architect, CoreWeave