Purpose-Built Silicon for the Agentic Era

Google's separation of training (TPU 8T) and inference (TPU 8I) hardware signals that agentic workloads have fundamentally outgrown general-purpose architectures. This specialization drives down inference costs and latency, enabling developers to design sophisticated multi-step reasoning agents without budget constraints. The move validates an industry-wide shift toward purpose-built silicon, reshaping strategic priorities across the AI hardware ecosystem.