EVO Router Launches: Dynamic AI Inference Optimization Cuts Costs by 30-60%

NirantK · x · 2026-08-04

EVO HQ introduced EVO Router, an open-source smart routing system designed to continuously optimize and hill-climb on AI inference workloads.

How it works: By learning from code, prompts, production traffic, and SLAs, it searches for the best setup while staying within quality, latency, and reliability constraints.
Scope: It goes beyond choosing a single model or classifier, optimizing across model × provider combinations, fusion systems, cascades, and routing policies.
Results: Early users have seen 30%–60% lower inference costs across use cases ranging from multi-turn agents to asynchronous batch workloads.

More from Infra