Home agents aren't starved for tokens, they're stuck in the queue
Local inference has a bottleneck that nobody talks about, and it isn't tokens per second. It's one GPU. Run an agent that spawns subagents and suddenly five "parallel" workloads are all queued behind the same card, doing something very close to nothing while they wait for their turn. Nvidia's answer, announced at IFA 2026, is a free, open-source beta called PAIR (Personal AI Router) for Windows, Linux, and macOS. The name is misleading on purpose: it is not a hardware router. It's software that discovers compatible machines on your LAN (mDNS), pairs them with a six-digit code, and encrypts the channel with mTLS. Compatible means RTX 20-series and newer, RTX PRO, DGX Spark, and — worth repeating because it matters — Apple M4 and newer. The subtle-but-important part: PAIR doesn't teach your agents a new API. It proxies the Ollama and LM Studio endpoints you already run, and each model still runs entirely on one machine. It's workload distribution, not co...