Google said it has applied the same end-to-end principle it used for apps to AI, describing a full-stack approach that brings together compute infrastructure, AI models, orchestration and user interfaces in one system.
In the source text, Google said it provides hardware such as Tensor Processing Units (TPUs), frontier models developed by Google DeepMind like the Gemini family of models, the Gemini Enterprise Agent Platform and interfaces such as Maps and Gmail. It said the aim is to give users and builders the components they need without having to stitch together separate products from different vendors.
The company said the approach was a deliberate, decades-long strategy. It said its bet on custom TPUs is already over 10 years old, and that owning its own supply chain and raw infrastructure helps it deliver service, performance and reliability across internet services.
Google also addressed concerns that a full-stack platform could limit builders. It said locking people in does not align with its ethos and said it regularly gives away foundational technology and source code that the industry depends on.
The company described its AI platform as “opinionated but extensible” and “batteries included” and said everything needed to build and run an application is ready out of the box. It also said users can plug in another company’s AI model instead of Gemini, or use different software instead of Google Workspace.
Source: blog.google.
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