The AI hype cycle drove enterprises to stockpile GPUs—but now what? In this episode of the AI Proving Ground Podcast, Chris Braun and Andy Moser explore how organizations are leveraging their GPU investments, the role of fractional GPUs and the evolving skill sets IT teams need to optimize AI workloads. Chris and Andy also discuss GPU power and cooling considerations and what's next in AI computing. Are GPUs still the future, or will new architectures take over? Tune in to find out.

Many enterprises recognize AI's potential but hesitate due to risk concerns, legacy infrastructure, and data chaos. In this episode, AI experts Mike Trojecki and Ina Poecher share how businesses can take their first steps with AI by focusing on small, high-impact use cases, leveraging their existing data, and bridging the gap between technical capability and business strategy.

AI strategy without execution is just a dream — but execution without strategy is a nightmare. In this episode of The AI Proving Ground Podcast, we dive into the critical components of AI-ready infrastructure with Jeff Fonke and Matt Halcomb, two experts in data center and high-performance architecture.

Brian Vaughan and Jason Lu – two leading AI researchers at WWT – break down the latest advancements in large language models (LLMs), the rapid evolution of reasoning AI, and what it all means for businesses today. The discussion touches on DeepSeek's efficiency breakthroughs, the transition from simple pattern prediction to true reasoning, and the growing role of agentic AI in enterprise applications.