CPU + GPU: Why AI platform engineering is a heterogeneous infrastructure problem

AI infrastructure conversations often start with GPUs. Accelerators provide much of the compute behind model training and inference, so the focus is understandable. But a production AI workload rarely starts and ends on a GPU.