In this episode, we sit down with Scott Guthrie, EVP of Microsoft's Cloud + AI Group, to explore the architecture behind Azure's AI Superfactory. Scott oversees Microsoft's hyperscale cloud computing solutions including Azure, generative AI platforms, and next-generation infrastructure. We dive into Microsoft's strategic approach to AI datacenter buildout, the innovative Fairwater architecture with its 120,000+ fiber miles of AI WAN backbone, and how Microsoft is balancing performance, sustainability, and cost at planet-scale. From dense GPU clusters drawing 140kW per rack to closed-loop liquid cooling systems, Scott reveals the engineering trade-offs behind infrastructure that powers frontier AI models with trillions of parameters. Whether you're an enterprise leader planning AI adoption or a developer curious about cloud architecture, you'll leave understanding how Microsoft is executing on next-gen infrastructure that transforms global challenges into opportunities.Subscribe to The Neuron newsletter: https://theneuron.ai
Full Episode
Hey everyone, welcome to The Neuron. I'm Corey. We're here again today at Microsoft Ignite 2025 in San Francisco. And today we're joined by a special guest. I'm here with Scott Guthrie, who is the EVP of Cloud and AI here at Microsoft. How you doing, Scott?
Doing well, Corey. Thanks for having me.
Good, I sure appreciate it. It's great to have you on. You've been at Microsoft a long time now, haven't you?
Yeah, 28 and a half years, so it's been a while. It feels like just yesterday, but it's been a while.
You've seen a lot of change over the course of that, I imagine. That's still early consumer internet even at that point.
It was before Netscape had just come out. The internet was just starting to get big. IE3, I think, came out. This summer, I was an intern at Microsoft. And so it was all still pretty new. And yeah, it's amazing how the world's changed since then.
And today, the word of the day is agents, for sure. Agents in Copilot, in Windows, in Azure, everywhere, I guess.
Yeah. I think that's, that's, you know, the fun thing of technology is there's always something new. And, uh, you know, at the same time, the new thing builds on the things of the past. And so, uh, you know, with agents, obviously they have the similar dynamics of the early days of the internet.
We're all still trying to figure out what you can do with them and how they work and what the patterns are and how you run them reliably at scale. And, A lot of what we're doing at Ignite and talking about is just that. How do you build them with things like GitHub and Copilot Studio? And how do you integrate them into employee workflows with things like Microsoft 365 Copilot?
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