Google has unveiled its eighth-generation Tensor Processing Units (TPUs) by splitting them into two distinct chips: the training-focused TPU 8t and the inference-optimized TPU 8i. This move goes beyond simply designing two chips; it reflects Google’s capability to break down bottlenecks across different stages of the model lifecycle, restructuring chip design, interconnects, memory, scheduling, and software stacks.