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Episode

The Future of AI Infrastructure with CoreWeave

Podcast
Practical AI
Published
Jul 17, 2026
Duration seconds
3004
Processing state
processed
Canonical source
https://share.transistor.fm/s/01c30767
Audio
https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/01c30767/eed885fc.mp3
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/v1/public/podcasts/practical-ai/episodes/the-future-of-ai-infrastructure-with-coreweave
Markdown
/podcast/practical-ai/the-future-of-ai-infrastructure-with-coreweave.md

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Summary

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.

Topics

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

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

Chapters

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 34:00 Portability vs. Performance: The tension between maintaining cloud-agnostic portability and the need for deep hardware optimization for maximum efficiency.
  6. 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.