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On-device or cloud? Building hybrid AI inference into your Android app with Firebase AI Logic

DEV Community·Carol Bolger·6 months ago
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This is a submission for the Google Cloud NEXT Writing Challenge

Not every prompt needs the cloud

Every time a user taps a button in your Android app and Gemini responds, something happens in the background you might not think about: a round trip to Google's servers. Data leaves the device, gets processed in the cloud, and comes back. For most prompts, that's fine. But what about a health journaling app where the prompt contains symptoms? A notes app where the query is someone's private thought? Or a user on a shaky connection in the middle of nowhere?

The assumption baked into most AI-powered apps is that inference lives in the cloud. That made sense when on-device models were too limited to be useful. That assumption is now worth revisiting.

At Google Cloud Next '26, Firebase announced hybrid inference for Firebase AI Logic on Android — currently experimental, powered by Gemini Nano via ML Kit's Prompt API under the hood.…

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