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

Google Pixel 10 series shapes the future with powerful and fully private on-device AI.

- **Source:** [Google Developers Blog](https://brifing.si/source/1e914d4a-9164-4a1a-82cb-3d169fbad877)
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://developers.googleblog.com/unlocking-the-next-era-of-on-device-ai-with-google-tensor-and-pixel/>
- **On Brifing:** https://brifing.si/s/ea7a4ac2-f804-43ff-9fe3-de24317d9127

## The Power of Google Tensor and TPU

Google Tensor SoC and advanced Tensor Processing Unit (TPU) deliver powerful and fully private on-device AI for the Pixel 10 series. This technology ensures data stays on the device, prioritizing privacy.

## Gemma 4 E2B Model

Gemma 4 E2B was introduced as a lightweight and powerful model running natively on the Pixel TPU. This model offers seamless and internet-free experiences for edge AI applications.

## Personal Assistant Features

The on-device TPU can function as a personal travel planner, recipe guide, or home automation tool entirely offline. It also allows users to control core phone functions via voice or text commands.

## Multimodal Interactions

Seamless and internet-free intelligent interactions across text, images, and audio are provided. This enables users to engage in deep conversations, identify objects, and take voice notes.

## Real-World Applications

This technology is revolutionizing industries like retail and automotive. For instance, it can convert recipes into shopping maps entirely offline or provide visual diagnostics for faulty parts.

## Tensor SDK for Developers

The Tensor SDK offers developers a unified workflow and over 100 classical ML models. It provides the necessary tools to build secure and edge-based AI applications.

## Sources covering this story

- https://developers.googleblog.com/unlocking-the-next-era-of-on-device-ai-with-google-tensor-and-pixel/ — 

---

_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
