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

At the Google I/O India event, a joint showcase with the Google Pixel team highlighted the capabilities of Google Tensor’s custom System-on-Chip (SoC) and advanced Tensor Processing Unit (TPU) in driving private on-device AI for the Google Pixel 10 family. The event introduced the Gemma 4 E2B model for TPU, designed for offline privacy and efficient edge AI applications, allowing functionalities such as personal assistance and core phone operations to be performed offline using private voice or text commands. The technology demonstrated rich offline multimodal interactions, enabling tasks such as AI chat, object identification, and audio transcription without internet access, and showcased real-world applications in retail and automotive diagnostics. Developers were encouraged to explore the Tensor SDK and its resources for building secure, edge-based AI on Pixel devices, with acknowledgments given to the collaborative efforts of various teams for making the event possible.

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