INFRAMIND makes multi-agent orchestration aware of GPU infrastructure

A new arXiv paper introduces INFRAMIND, a framework that makes multi-agent LLM orchestration aware of the infrastructure it runs on.

The authors argue that current agent routers often choose models and topologies without considering live GPU cluster conditions. That can leave capable alternatives idle while preferred models build deep request queues.

The work is useful because agent performance depends not only on reasoning quality, but also on scheduling, latency, KV-cache pressure, and budget under real system load.