# The Future of AI Infrastructure with CoreWeave

Page: https://stenobird.com/podcast/practical-ai/the-future-of-ai-infrastructure-with-coreweave
Text version: https://stenobird.com/podcast/practical-ai/the-future-of-ai-infrastructure-with-coreweave.md
Podcast: [Practical AI](https://stenobird.com/podcast/practical-ai)
Published: 2026-07-17T09:00:00+00:00
Episode link: https://share.transistor.fm/s/01c30767
Audio file: https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/01c30767/eed885fc.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/practical-ai/episodes/the-future-of-ai-infrastructure-with-coreweave
Duration seconds: 3004

## Resource

Traditional cloud computing is insufficient for the specialized demands of modern AI workloads. Corey Sanders explains why the industry is shifting toward AI-native infrastructure to support complex, multi-model agentic applications.

## Highlights
- Main idea: AI-native infrastructure is required to handle the unique compute and storage demands of training and inference workloads
- Practical takeaway: Developers should move toward 'infrastructure-aware' applications that optimize for caching and specialized model routing
- Failure mode: Using massive frontier models for simple tasks like spell-checking is inefficient and creates unnecessary cost overhead
- Main idea: The future of software lies in agentic workflows where multiple specialized models interact rather than single-purpose web interfaces
- Practical takeaway: Democratizing access to high-performance GPU clusters is essential for enterprises lacking frontier-lab research talent

## Topics

AI Infrastructure, GPU Computing, Cloud Computing, Agentic AI, CoreWeave, Machine Learning Operations, Inference Optimization, Edge Computing

## Chapters
- 1:00 — The Evolution of Cloud to AI: Corey Sanders compares the current AI boom to the early days of Azure, noting the parallel growth patterns in infrastructure needs.
- 5:00 — The Gap in AI Applications: An exploration of what is currently missing in the stack to support the transition from simple prompts to complex, business-critical AI applications.
- 16:00 — The Art of GPU Orchestration: Discussing the technical difficulty of managing tens of thousands of GPUs and the importance of identifying performance bottlenecks in large clusters.
- 23:00 — The Rise of Agentic Workflows: How backend infrastructure will evolve to support a web of interacting agents and specialized models performing specific tasks.
- 34:00 — Portability vs. Performance: The tension between maintaining cloud-agnostic portability and the need for deep hardware optimization for maximum efficiency.
- 45:00 — The Death of the Traditional Website: Predicting a future where AI-first experiences replace button-based web interfaces with fluid, human-interaction models.

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## Transcript

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