Subvolts take Understand the specialized hardware powering AI's next wave. Jul 17, 2026 - Developers
- Learn about the specialized infrastructure and hardware needs for building and deploying advanced AI models and agentic systems.
- Business
- Understand how AI's infrastructure requirements are evolving, impacting the future of software and the compute needed for AI-first experiences.
This is a solid interview with an industry expert discussing critical hardware trends for AI development.
The Future of AI Infrastructure with CoreWeave
Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Corey Sanders of CoreWeave joins Practical AI hosts Daniel Whitenack and Chris Benson to discuss AI infrastructure. They cover AI-native design, GPU optimization for training and inference, and the shift toward AI-first experiences over traditional websites and apps, highlighting the evolving needs of complex AI applications.
This episode explains how the computer systems that run AI are changing. Instead of regular computers, AI needs special setups, especially powerful graphics chips, to learn and work fast. This matters because it helps create smarter AI tools for everyone.
This episode offers insights into the specialized hardware and infrastructure required for advanced AI development. It is for developers and business leaders building or deploying AI applications who need to understand the underlying technology. The discussion on AI-native infrastructure and GPU optimization connects directly to the massive compute demands faced by frontier labs like Google Gemini and OpenAI as they push the boundaries of model scale and capability.
- HostDaniel Whitenack
- HostChris Benson
- GuestCorey SandersSVP of Product, CoreWeave
- Guest: Corey Sanders, SVP of Product at CoreWeave
- Show: Practical AI
- Length: 50 minutes
- Topic: AI-native infrastructure
- Topic: Optimizing GPU performance
- Topic: AI-first experiences
Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.
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 AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.
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Upcoming Events:
- Register for upcoming webinars here!
- Midwest AI Summit 2026
- inference
- Corey Sanders
- The process of an AI model making predictions or generating outputs based on new data.
- agentic development
- Corey Sanders
- Building AI systems that can autonomously plan and execute tasks to achieve goals.
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Questions people ask
- What is AI-native infrastructure?
- It refers to computing infrastructure designed specifically for the demands of AI workloads, differing from traditional cloud computing approaches.
- How is AI changing software development?
- The future of software will be built around AI-first experiences, moving away from traditional websites and apps.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.