<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><title>Nvidia Wants to Turn Your Idle PCs Into a Personal Home Data Center With 'PAIR' — Live Feed</title><link>https://www.live-feeds.com/feed/nvidia-wants-to-turn-your-idle-pcs-into-a-personal-home-data-center-with-pair</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/nvidia-wants-to-turn-your-idle-pcs-into-a-personal-home-data-center-with-pair/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>Nvidia Releases PAIR to Cluster Local GPUs for AI Tasks</title><link>https://www.live-feeds.com/feed/nvidia-wants-to-turn-your-idle-pcs-into-a-personal-home-data-center-with-pair</link><guid isPermaLink="false">https://www.live-feeds.com/feed/nvidia-wants-to-turn-your-idle-pcs-into-a-personal-home-data-center-with-pair#u60740</guid><pubDate>Tue, 08 Sep 2026 00:36:34 +0000</pubDate><description>Nvidia has launched Personal AI Router (PAIR), a free open-source virtual inference router that transforms idle computers on a local network into a personal home data center. The tool distributes local AI workloads and agentic tasks across a cluster of hardware, including RTX GPUs, DGX Spark, and Mac nodes. By annexing available compute from multiple devices, PAIR increases the speed and capacity of local AI agents without requiring a single high-end machine to handle all processing.Why it mattersLocal AI execution typically depends on the hardware of a single device, limiting the complexity o</description></item>
</channel></rss>