Google 在 I/O Connect India 展示由 Tensor SoC 和 TPU 驱动的 Pixel 10 端侧 AI 未来
Unlocking the Next Era of On-Device AI with Google Tensor and Pixel
在 Google I/O Connect India 上，Google 展示了由定制 Tensor SoC 和 TPU 驱动的 Pixel 10 系列所支持的 100% 私有端侧 AI 未来。活动首次推出轻量级 Gemma 4 E2B 模型，该模型原生运行于设备端，可实现完全离线的多模态功能，包括 AI 聊天、实时图像识别和个人智能体任务。开发者即日起可通过新发布的 Tensor SDK beta 及其配套开源资源，开始构建这些安全的边缘应用。
我觉得这是端侧 AI 从实验到落地的信号，Gemma 4 E2B 的离线能力搭配新 SDK，让完全本地的多模态应用不再是期货，做移动隐私 AI 的开发者该上手试试了。
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 FunctionGemma 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 SDK 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 Connect India Event: Himangshu Roy, Chirag Gupta, Rishubh Khurana, Shubham Saini, Priya Patel, Prakul Sawhney, Malini P V, Chanchal Raj, Abhishek Jatram, Akhilesh Ravi, Jui Pradhan, Naina Singla, Jayanthan K, Sarvesh Das, Alice Zheng, Yishuang Pang, Na Li, Lu wang, Vibhu Agrawal, Debapriya Maji, Aditya Srivastava
Pixel Business Team: Lokesh Madala, Amit Roykaran, Mitul Shah, Keya Mukherji, Sneha Budhia
Licensing
https://ai.google.dev/edge/litert/next/tensor_ml_terms
1- Devices supported arePixel 10,Pixel 10 Pro,Pixel 10 Pro XL,Pixel 10 Pro Fold
来源：Google Developers Blog（RSS） · developers.googleblog.com