# Unlocking the Next Era of On-Device AI with Google Tensor and Pixel

> Source: <https://developers.googleblog.com/unlocking-the-next-era-of-on-device-ai-with-google-tensor-and-pixel/>
> Published: 2026-07-14 16:50:27.948837+00:00

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:

We debuted [ Gemma 4 E2B for TPU](https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm/blob/main/gemma-4-E2B-it_Google_Tensor_G5.litertlm)—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.

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](https://huggingface.co/litert-community/functiongemma-270m-ft-mobile-actions/blob/main/functiongemma-270m-ft-mobile-actions_Google_Tensor_G5.litertlm) running natively on the TPU, users can execute

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.

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.

[ Sign up for the Tensor SDK](https://developers.google.com/edge/tensor-sdk), offering the unified developer workflow and

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

[https://ai.google.dev/edge/litert/next/tensor_ml_terms](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