<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>P2p on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/p2p/</link><description>Recent content in P2p on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 02 Jul 2026 08:00:00 +0000</lastBuildDate><atom:link href="https://renezander.com/tags/p2p/index.xml" rel="self" type="application/rss+xml"/><item><title>Peer-to-Peer Local AI: Edge Agents, No Cloud in the Path</title><link>https://renezander.com/blog/peer-to-peer-local-ai/</link><pubDate>Thu, 02 Jul 2026 08:00:00 +0000</pubDate><guid>https://renezander.com/blog/peer-to-peer-local-ai/</guid><description>&lt;p>The discussion around local AI is a hardware discussion: which model fits on which device, at what speed, at what quantization. Framed that way, the field reads as a benchmark race against the cloud, and the cloud usually wins. The more consequential development sits one layer lower, in how models reach devices and how devices reach each other&amp;rsquo;s models, and it is easy to miss because no benchmark measures it. A download killed at 488 of 773 megabytes measures it precisely.&lt;/p></description></item></channel></rss>