🚨 NVIDIA just quietly changed what a “personal AI computer” can mean. Meet NVIDIA PAIR: Personal AI Router. Instead of buying one massive machine to run local AI, PAIR lets you connect the computers you already have and turn them into a personal AI inference cluster. Your RTX PC. Your DGX Spark. Even supported Macs. All working together. PAIR automatically discovers compatible machines on your local network and routes AI workloads to whichever device has available compute. Think of it like a load balancer for AI agents running inside your house. And this is where things get interesting: → Run multiple AI agents in parallel → Route inference across multiple GPUs/computers → Use Ollama + LM Studio → Keep prompts, files and agent context on your own network → No racks or complicated cluster setup → Windows, Linux and macOS support The bigger idea here isn’t just PAIR. It’s where NVIDIA thinks AI computing is going. Today we have: 1 user → 1 computer → 1 AI model Tomorrow could look more like: 1 user → many AI agents → an entire pool of local compute Your gaming PC might run one agent. Your workstation runs another. A DGX Spark handles the heavy model. And PAIR becomes the router deciding where every inference request goes. The cloud isn’t disappearing. But personal AI infrastructure is starting to look a lot more like a miniature data center. And NVIDIA wants to provide the operating layer underneath it. PAIR is currently in beta and NVIDIA has released it as free, open-source software. This one is worth watching. 👀