Oracle Cloud announces the introduction of Google TPU, with services to begin in 2027

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Oracle Cloud announces adoption of Google TPU, to begin offering in 2027. Oracle AI World 2026, October 28, 2026

Oracle announced that it will introduce Google TPU, the AI-dedicated chip developed by Google, into Oracle Cloud Infrastructure (hereinafter Oracle Cloud) and begin offering Google TPU services starting in 2027.

Oracle is holding its annual event "Oracle AI World 2026" in Las Vegas, USA, from October 27 Japan time.

The introduction of Google TPU into Oracle Cloud was announced in the keynote speech at this event (the notation "Google TPUs" can be seen in the upper right of the slide below).

Google TPU is a processor designed and developed by Google for machine learning and AI processing.

Oracle explains that it will provide the power, cooling, in-data-center networking, and other infrastructure necessary to deploy this Google TPU at scale on Oracle Cloud.

Google TPU on Oracle Cloud is scheduled to become available in 2027.

Why Oracle Cloud is adopting Google TPU

Oracle is in a position of desperately chasing AWS, Microsoft Azure, and Google Cloud, which lead in the cloud market.

In the currently rapidly growing AI market, these three companies are not only deploying NVIDIA GPUs but also each rolling out their own AI processors to build unique value. In this situation, Oracle teaming up with Google to offer customers an AI processor option other than NVIDIA on Oracle Cloud can be seen as a rational strategy for Oracle, which aims to provide cloud infrastructure strong in AI processing.

Meanwhile, Google Cloud is working to strengthen Google TPU in order to break NVIDIA's stronghold in the AI processor market.

Therefore, being able to deploy Google TPU not only on its own Google Cloud but also on Oracle Cloud will undoubtedly be desirable for expanding the use of Google TPU.

Last week, Google Cloud open-sourced "TorchTPU," which enables native support for PyTorch, a representative library used for machine learning and AI processing, on Google TPU. Going forward, it is expected that users will be able to run AI processing on Google TPU not only with Google's AI services but also using various frameworks and libraries of their own.

Reference: AWS and Google Cloud open-source versions of "PyTorch" for AWS Trainium and Google Cloud TPU. Taking on the challenge of migrating away from NVIDIA

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