# Developers Can Now Experiment with Gemini Nano Using the AI Edge SDK
Google is making significant strides in enhancing accessibility to its advanced AI model, **Gemini Nano**, for developers. With the new launch of the **AI Edge SDK**, Android developers are now able to test Gemini Nano on the **Pixel 9** series, paving the way for innovative AI-driven applications. This initiative is part of Google’s overarching plan to integrate AI capabilities into devices, reducing dependency on continuous internet access.
## Essential Information
– **Gemini Nano** is now open for experimentation by Android developers via the **AI Edge SDK** on the **Pixel 9** series.
– At this moment, developers can utilize **text-to-text prompts**, which facilitate features such as **rephrasing**, **smart replies**, **proofreading**, and **summarization**.
– This early access is intended solely for **development purposes** and not meant for production.
## What is Gemini Nano?
**Gemini Nano** is a state-of-the-art AI model created by Google, capable of functioning directly on devices without the necessity of an internet connection. This capability for on-device processing is revolutionary, particularly for applications that require immediate AI assistance without reliance on cloud services.
Initially introduced alongside the **Pixel 8 Pro** in December 2023, Gemini Nano was initially limited to Google’s applications. However, its availability quickly expanded to other devices, including Samsung’s **Galaxy S24** series. Now, Google is further broadening access by enabling developers to experiment with Gemini Nano through the **AI Edge SDK**.
## Increasing Access for Developers
Google’s choice to extend Gemini Nano to Android developers signifies an important advancement. Previously, the AI model was restricted to Google apps and a select few external collaborators. With the launch of the **AI Edge SDK**, developers are now able to start experimenting with Gemini Nano on the **Pixel 9** series, as outlined in a recent [blog post](https://android-developers.googleblog.com/2024/10/gemini-nano-experimental-access-available-on-android.html).
At this point, developers can only work with **text-to-text prompts**, which allows for the development of features such as:
– **Rephrasing**: Automatically altering sentences for improved clarity or tone.
– **Smart Replies**: Creating quick, context-aware responses.
– **Proofreading**: Identifying and rectifying grammar and spelling issues.
– **Summarization**: Transforming lengthy texts into concise summaries.
These functions represent just the initial phase, as Google intends to incorporate support for additional modalities, including **images**, in forthcoming updates.
## Looking Forward with Gemini Nano
Although the present access is confined to text-based prompts, the future of Gemini Nano appears bright. Google is anticipated to release updates that will accommodate various data types, such as images, and broaden compatibility to encompass a wider selection of devices beyond the Pixel 9 series.
As noted by **Mishaal Rahman** from **Android Police**, potential devices that may achieve future compatibility include models such as the **Xiaomi 14T**, along with offerings from **Motorola** and **Realme**, in addition to existing Nano-compatible devices from **Samsung**.
## Development-Only Access
It’s crucial to understand that this preliminary access is reserved for **development purposes** only. Developers can delve into the features of Gemini Nano, yet the AI model is not yet suited for production settings. To begin, developers must sign up for the **AICore system** via the Google Play Store, where they can access **Android AICore (Beta)**.
This wider compatibility will empower developers to weave Gemini Nano into their third-party applications, potentially sparking an influx of **AI-driven applications** on the Play Store.
## The Future of AI on Android
Google’s initiative to grant developers access to Gemini Nano represents a pivotal change in the AI ecosystem for Android. By incorporating on-device AI capabilities, Google is enabling developers to craft more responsive and efficient applications that do not depend on cloud computing.
As AI technology evolves, the integration of models like Gemini Nano into everyday applications has the potential to transform how we engage with our devices. Whether through smarter messaging tools, more effective proofreading solutions, or sophisticated summarization features, the opportunities are limitless.
With the **AI Edge SDK**, developers now possess the instruments necessary to explore these opportunities and redefine the scope of on-device AI.
—
### Featured Product: Google Pixel 9
The **Google Pixel 9** stands as Google’s latest flagship device, presenting numerous enhancements over its predecessor. Featuring a **larger, brighter OLED display**, **enhanced performance**, and a **bigger battery**, the Pixel 9 ensures a superior user experience. Its **exceptional cameras** uphold the Pixel tradition of capturing breathtaking images in any lighting conditions. Furthermore, the Pixel 9 incorporates a variety of new AI features and promises
