On-device multimodal AI

On-device multimodal AI processes text, audio, and visual data locally on silicon like the Snapdragon 8 Gen 3 to ensure zero-latency privacy.

This technology moves complex inference from massive data centers directly onto local hardware (NPUs and GPUs). By running models like Gemini Nano or Llama 3 locally, devices interpret real-world surroundings through simultaneous camera feeds and voice streams without sending data to the cloud. This architecture eliminates round-trip latency (sub-100ms response times) and secures sensitive biometric or conversational data at the hardware level. It is the backbone for features like live video translation and proactive workspace assistants that function entirely offline.

https://ai.google.dev/edge