AI agents are learning to work together more effectively. A lead agent can break complex tasks into smaller jobs and assign them to specialized subagents, with users increasingly running multiple agent sessions simultaneously. Multi-agent workflows are becoming more common, but this approach can bottleneck the system as many requests flood the GPU at once. NVIDIA Personal AI Router (PAIR) addresses this problem by leveraging local hardware to distribute inference requests across available systems on a home network. PAIR routes each independent request to an available machine and works with...