Google TPUs to Run on Oracle Cloud for First Time with 8th-Gen Chips
Google announced that its TPUs will run on a hyperscale cloud outside Google for the first time, specifically on Oracle starting in 2027. Leveraging the high performance of 8th-generation TPUs and an open-source software stack, this partnership aims to lower migration costs from NVIDIA GPUs and enable co-location of model training with enterprise data.
Full Report
Rohan Paul (@rohanpaul_ai) · 2026-10-27 23
Google’s TPUs will run on a hyperscale cloud outside Google for the first time, with Oracle deploying capacity from calendar 2027 and ramping it over several years.
Oracle supplies the power, cooling and data center networking, and its Acceleron network links TPU clusters to Oracle databases and storage, so enterprises can fine-tune and serve models beside their records without cross-cloud transfers.
Google claims its 8th-generation TPUs deliver up to 12.6 PFLOPS of FP4 compute per chip, keep clusters doing productive work over 97% of the time on large training runs, and give up to 80% better performance per dollar for low-latency serving.
Google says its open-source TorchTPU stack runs existing PyTorch code, along with tools such as vLLM and SGLang, on TPUs without model rewrites, which lowers the cost of moving work off NVIDIA GPUs.
The deal carries Google’s effort to sell TPUs beyond its own cloud, which began earlier this year with sales to smaller providers, into a direct hyperscale competitor.
