Architecting AI Infrastructure Series: Why GPU Placement Becomes the Defining Problem | This article sets the scene. It explains why GPU placement is challenging, why early AI platforms often struggle as they grow, and why solving placement issues requires a new way of thinking about architecture rather than just introducing another scheduler. ā Frank Denneman
Architecting AI Infrastructure Series: Why GPU…
Why GPU Placement Becomes the Defining Problem In earlier articles, I looked at how modern AI models use GPU resources. I covered dynamic memory consumption, activation patterns, and how designs like mixture-of-experts change resource needs over time. Those pieces focused on what models […]
