🚀 Accelerating Gemini Nano on Pixel via Multi-Token Prediction
Google has introduced a method to accelerate Gemini Nano v3 models on Pixel devices. Instead of using a separate draft model, a lightweight MTP layer is added to the main model, utilizing cross-attention to work with the existing KV cache. This accelerates performance on the Pixel 9 by more than 50% and saves approximately 130 MB of RAM.
🌍 The technology demonstrates an efficient path for edge-AI optimization without the need to retrain base models, lowering the barrier for deploying complex LLMs on mobile devices.
👤 Using Gemini Nano on Pixel smartphones will become faster and more battery-efficient, improving features like notification summarization and smart text correction.