MediaTek NPU and LiteRT: Powering the next generation of on-device AI- Google Developers Blog
Dec 8, 2025Lu Wang, Arian Arfaian, Luke Boyer

Summary
This post introduces the LiteRT NeuroPilot Accelerator, a successor to TFLite NeuroPilot delegate, enabling seamless deployment of AI models on MediaTek NPUs. It highlights a unified development workflow with AOT and on-device compilation options, simplified C++ API with Native Hardware Buffer Interoperability for zero-copy data passing, and rich generative AI capabilities with optimized support for models like Gemma and Qwen. Performance benchmarks show significant acceleration for Gemma models on MediaTek chipsets compared to CPU and GPU. The post also details integration paths for developers using LiteRT-LM for text generation and LiteRT for embedding models.
More from the AI-Assisted Spec-Driven Development trail
- The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents- Google Developers Blog
- Enable on-demand expertise with Agent Skills in Genkit Go- Google Developers Blog
- Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA- Google Developers Blog
- How to use Google microbenchmarks for evaluating TPU performance- Google Developers Blog
- Evolving Spec-Driven Development: Conductor Now Supports Antigravity- Google Developers Blog