Google is scaling its TPU hardware to power Gemini, reducing its reliance on Nvidia GPUs. AMD competes for the remaining market share with its MI300 series. This shift in silicon strategy lowers operational costs for Google. Practitioners should monitor how custom hardware affects model latency and training efficiency across different cloud providers.