The rapid expansion of generative AI has changed the way in which Google and other technical giant design products, but most AI functions you have used, are performed on external servers with a lot of processing power. Your phone has much less power, but Google seems ready to give developers some important new mobile AI tools. During I/O next week, Google will probably announce a new set of APIs to let developers use Gemini Nano for AI for Gemini Nano.
Google has quietly published documentation about large new AI functions for developers. According to Android Authority, an update of the ML-Kit SDK API support for generative AI functions on the device will add via Gemini Nano. It is built on AI core, similar to the experimental edge AI SDK, but it is in line with an existing model with a set of pre -defined functions that should be easy for developers to implement.
Google says that the Genai APIs of ML Kit Apps will enable summary, test reading, rewriting and image description without sending data to the cloud. However, Gemini Nano does not have as much strength as the cloud -based version, so expect some limitations. For example, Google notes that summaries can only have a maximum of three listing signs and that image descriptions are only available in English. The quality of the outputs can also vary based on the version of Gemini Nano on a telephone. The standard version (Gemini Nano XS) is approximately 100 MB in size, but Gemini Nano XXS as seen on the Pixel 9a is a quarter of the size. It is only text and has a much smaller context window.
Not all versions of Gemini Nano have been drawn up.
Credit: Ryan Whitwam
Not all versions of Gemini Nano have been drawn up.
Credit: Ryan Whitwam
This step is good for Android in general because ML -Kit works on devices outside the Pixel Line from Google. Although Pixel devices Gemini Nano use extensively, various other phones have already been designed to make this model work, including the OnePlus 13, Samsung Galaxy S25 and Xiaomi 15. As more telephones add support for the AI model of Google, developers can focus on those devices with generative AI models.
