Stop routing docstrings to 70B models with on-device AI on Snapdragon | BRKSP90
Snapdragon x2 elite On Device AI NPU inference AI coding assistant Model routing Quantization Edge AI LLM optimization Three Tier architecture Qualcomm Token reduction Latency optimization MSBuild 2026
This session from Microsoft Build 2026 demonstrates how to build a three-tier inference routing architecture using Snapdragon X2 Elite’s 80 TOPS NPU to route simple tasks like docstrings to on-device models (≤13B), medium tasks to on-prem (14B-34B), and complex tasks to cloud (70B+). Developers will learn quantization trade-offs, routing logic based on entropy and logic depth, and how to achieve 67% token reduction and 70% latency improvement while keeping most code local.