Google announced on November 9 that it is expanding its eighth-generation TPU portfolio with two new systems: TPU 8tx, built for secure and confidential inference, and TPU 8i Max, built for massive context windows and the highest compute density per rack. They join TPU 8t for large-scale training and TPU 8i for real-time reasoning, both introduced at Google Cloud Next in April — the first time Google has introduced four TPU systems in a single year.

TPU 8tx uses the same silicon as TPU 8t, paired with 5th Generation AMD EPYC hosts, and builds security into the hardware so sensitive data and model weights stay protected and isolated even while in active use; Google claims up to 2x lower latency than TPU 8t and says it also suits small-scale training and private fine-tuning for regulated enterprises and governments. TPU 8i Max puts two TPU 8i chips on a single package, doubling compute, SRAM and HBM bandwidth over TPU 8i, aimed at workloads where dozens of agents work across a whole codebase or hours of video at once.

Google's post gives no price and no general-availability date for either system; Bloomberg reporting cited by Beri says the systems arrive next year. Google says TPUs now have nearly 100 customers, including frontier labs, trading firms, retailers and universities. All performance figures are Google's own.