Nvidia’s PAIR (Personal AI Router) automatically spreads local AI requests across all available devices on a home network, cutting wait times for parallel agent tasks. The open-source tool sits between existing tools like Ollama or LM Studio and the computers on your network, acting as a virtual router. Users don’t need to change their agents or apps. Instead of overloading a single GPU, PAIR forwards requests to whichever machines are free and pulls the results back together for the calling application.

Supported hardware includes GeForce RTX cards from the 20 series and up, RTX Pro workstations, DGX Spark, and Apple silicon starting with the M4. In a demo, a three-device cluster finished a task with five subagents in just under 9 minutes, compared to 18 minutes on a single laptop. PAIR auto-detects compatible devices on the network and secures all traffic between machines with MTLS encryption. The beta is available for Windows, macOS, and Linux. PAIR fits into NVIDIA’s broader push to tie open AI more tightly to its own hardware, a strategy also reflected in its $12.9 billion acquisition of Hugging Face.