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The Future of AI Infrastructure with CoreWeave

Overview

Shownote

Highlights

Transcript

Chapters

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The Future of AI Infrastructure with CoreWeave

Practical AI

1 DAYS AGO
Practical AI

Practical AI

1 DAYS AGO
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore A...

Highlights

Corey Sanders, SVP of Product at CoreWeave, discusses the specialized infrastructure needs of AI, contrasting them with traditional cloud computing. He explains the distinct requirements for training and inference workloads, the rise of agentic development, and how AI-native approaches are reshaping software engineering.
00:01
CoreWeave specializes in AI infrastructure
02:12
AI needs native infrastructure, not retrofitting.
05:14
Training requires expensive, highly interconnected infrastructure.
08:29
AI workloads require pre-planned, customized infrastructure
14:23
Hire people who question your baseline.
18:29
Platforms aim to democratize iterative model improvement using AI itself
19:19
Agent-led approach will make click-based interfaces obsolete
22:09
Agentic development is becoming central
23:41
Continuous improvement of prompts and models is key.
27:32
Framer is a collaborative website building platform
28:55
Integrated services enable rapid iteration in agentic engineering loops.
33:32
Build for multi-cloud, not lock-in.
38:35
AI Loop reduces costs through optimization and faster transitions
45:28
AI will follow the same adoption curve as public cloud but faster.
49:28
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Chapters

Welcome to Practical AI!
00:00
Introduction to CoreWeave and AI Landscape
01:23
Transitioning from Microsoft to CoreWeave
02:12
Understanding AI Workloads and Infrastructure Needs
05:14
Realizations in AI Infrastructure and Workflows
08:28
Teaching AI Practitioners About Infrastructure Challenges
11:31
Identifying Failures in AI Training Jobs
15:59
Introducing ARIA: AI Research and Iteration Agent
19:19
The Future of AI Interaction and Agent Architecture
22:08
AI-Centric Applications and Inference Models
23:39
Sponsor: Framer
27:31
Optimizing AI Workflows with Core Weave
28:46
Balancing Portability and Performance in AI
33:32
Integrating Robotics and AI at the Edge
38:29
The Future of AI Engineering Teams
45:13
Outro
49:23

Transcript

Chris Benson: Welcome to the Practical AI Podcast, where we break down the real-world applications of artificial intelligence and how it's shaping the way we live, work, and create. Our goal is to help make AI technology practical, productive, and accessib...