sparse routing

Sparse routing is a core technique in Mixture of Experts (MoE) architectures, which are increasingly used in large-scale AI applications. By routing each input token to only a small subset of expert modules, sparse routing reduces per-request compute and latency while allowing models to scale in nominal capacity. This approach is reshaping the economics and engineering of AI, enabling efficient deployment in product apps. Discussions on WindowsForum cover how sparse routing works within MoE, its benefits for performance and cost, and practical considerations for implementing these models in enterprise and developer environments.