openJiuwen发布X-Router自演进模型路由技术

openJiuwen launches X-Router for adaptive model routing on Ascend chips

openJiuwen has launched X-Router, an adaptive model routing technology that selects the most appropriate large language model for each incoming request—and continuously refines its decisions using real-time feedback. Benchmarks show over 50% reduction in token consumption versus static routing, and the solution is explicitly optimized for Huawei Ascend 910B and related chips, including custom operator tuning and memory layout optimizations. For AI application founders, this delivers immediate infrastructure ROI: halving token usage directly reduces inference costs—critical for bootstrapped teams running on single Ascend servers instead of multi-GPU A100 clusters. More strategically, X-Router offers a vendor-agnostic abstraction layer: teams can plug in Qwen, DeepSeek, or Gemini models via standardized APIs, avoiding lock-in during rapid prototyping. We recommend integrating it at the MVP stage—not as infrastructure, but as a configuration-driven routing switch—turning model selection from an architectural commitment into a runtime parameter, dramatically accelerating iteration cycles.