That's a wrap on Google I/O India! In a special joint showcase with the Google Pixel team, we officially unveiled how Google Tensor’s custom System-on-Chip (SoC) and advanced Tensor Processing Unit (TPU) are driving the next generation of powerful, 100% private on-device AI for from Google Pixel 10 family of devices1

Here is a summary of the groundbreaking Google India I/O Showcases:

Introducing Gemma 4 E2B for TPU

We debuted Gemma 4 E2B for TPU—a state-of-the-art, powerful, yet remarkably lightweight model designed to run natively on the Pixel TPU. Gemma 4 ensures your data never leaves the device, guaranteeing absolute offline privacy for edge AI applications.

Agent Skills & Mobile Actions

We demonstrated how your on-device TPU can act as a personal travel planner, recipe guide, or home automator completely offline. Additionally, using Functional Gemma running natively on the TPU, users can execute Mobile Actions to command core phone functions—like WiFi or maps—using just private voice or text.

Agent Skills

Mobile Action

Rich Offline Multimodal Interactions

We showcased seamless, internet-free reasoning across text, images, and audio:

* AI Chat: Instant, deep offline conversations (even at 30,000 feet).

* Ask Image: Snap and identify objects, plants, or issues with 0% internet.

* Ask Audio: 100% private, on-device audio transcription for lectures and notes.

AI Chat

Ask Image

Ask Scribe

Real-World Edge Applications

We highlighted how this technology transforms industries right now:

* Retail: Converting recipe ideas into precise, localized in-store shopping maps completely offline.

* Automobile: Giving mechanics on-the-spot visual diagnostics from photos of faulty parts.

Retail Usecase

Automobile Usecase

Build with the Tensor SDK

Sign up for the Tensor SDK, offering the unified developer workflow and 100+ classical ML models in addition to the latest SLM models you need to build secure, edge-based AI. Refer to our Open Source Edge TPU Application code base and start building next-gen AI on Pixel today.

Open Source Edge TPU Application

Important Links

• Sign up for Google Tensor SDK Beta Release
• Download the source code of Edge TPU Application to develop your own TPU Powered Apps
• Browse the 100+ Classical ML Models
• Download Precompiled SLM Models on LiteRT Hugging Face Community
• Start the Google Tensor SKD Colab
• Download the LiteRT AI Edge gallery application for Android Play Store
• Review Tensor SDK License and Distribution Terms

Acknowledgements

This I/O Event was made possible through the collaboration of several teams. We thank them for their significant contributions:

Tensor Team for Google I/O India Event: Himangshu Roy, Prakul Sawhney, Malini P V, Chanchal Raj, Chirag Gupta, Akhilesh Ravi, Shubham Saini, Abhishek Jatram, Jui Pradhan, Naina Singla, Jayanthan K, Rishubh Khurana, Sarvesh Das, Alice Zheng, Yishuang Pang, Na Li, Lu wang

Pixel Business Team: Lokesh Madala, Amit Roykaran, Mitul Shah, Keya Mukherji, Lokesh Madala, Sneha Budhia

Licensing

https://ai.google.dev/edge/litert/next/tensor_ml_terms

^{1- Devices supported are Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold}