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Ethernet splitters vs switches explained: when each device actually works

Ethernet cables with four twisted pairs can be divided by passive splitters into two two-pair connections, but this only works for older 10/100Mbps standards that don't use all four pairs for data. A functioning setup requires two splitters, one at each end, since a router's single RJ45 port cannot talk to two separate devices at once. Switches, unlike splitters, actively manage multiple full-speed connections through dedicated hardware.

Nvidia releases PAIR, open-source tool to cluster home PCs for local AI inference

Nvidia has launched Personal AI Router (PAIR), open-source software that links RTX gaming GPUs, DGX Spark machines and Macs into a single local AI cluster without special cables or rack hardware. The tool works with existing local inference backends like Ollama and LM Studio, distributing chatbot and agent workloads across idle machines on a home or small-office network.

Nvidia's PAIR Tool Turns Home Devices Into a Shared AI Computing Network

Nvidia has released PAIR, a free open-source beta tool that connects compatible devices on a home network to pool their unused processing power for local AI inference and agentic tasks. It works with GeForce RTX 20-series and newer GPUs, RTX Pro cards, DGX Spark systems, and Apple M4 or later chips, running on Windows, Linux, and macOS.

Nvidia launches open-source PAIR to distribute AI agent tasks across home PCs

Nvidia has released PAIR (Personal AI Router) in open beta on GitHub, a system that lets users split GPU-intensive AI agent workloads into parallel subtasks and offload them to other computers on the same local network. The software works across Windows, Mac and Linux, uses mDNS for device discovery and MTLS for security, and currently supports the Ollama and LM Studio model engines.

Nvidia unveils PAIR tool to cluster home GPUs for AI agent tasks

At IFA 2026, Nvidia introduced the Personal AI Router (PAIR), software that distributes sub-tasks from a local AI agent across idle GPUs on other PCs in the same home network. Instead of overloading one machine with multiple sub-agents competing for resources, PAIR spreads the workload and returns results to the main system, adapting in real time as household GPUs become busy or free again.

NVIDIA launches PAIR, a free tool to pool idle PC GPUs for AI tasks

At IFA 2026, NVIDIA unveiled Personal AI Router (PAIR), a free, open-source beta tool that detects idle PCs on a home network and routes AI subagent tasks to them instead of overloading a single GPU. This lets multi-step AI agent jobs, like sorting an inbox, run faster by spreading the workload across multiple machines while the main PC stays free for gaming or work.