Google's 8th Generation TPUs: TPU 8t for Training and TPU 8i for Inference

At Google, our TPU design philosophy has always been centered on three pillars: scalability, reliability, and efficiency.

As AI models evolve from dense large language models (LLMs) to massive Mixture-of-Experts (MoEs) and reasoning-heavy architectures, the hardware must do more than just add floating point operations per second (FLOPS); it must evolve to meet the specific operational intensities of the latest workloads.

The rise of agentic AI requires infrastructure that can handle long context windows and complex sequential logic.

The 8th generation TPUs are engineered with system-level co-design to accelerate the AI lifecycle.

TPU 8t is built for frontier-model training and TPU 8i is built for large-scale inference and reinforcement learning.