<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Infra on Bil Arikan</title><link>https://bil.arikan.ca/tags/ai-infra/</link><description>Recent content in Ai-Infra on Bil Arikan</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 21 May 2026 08:30:00 -0500</lastBuildDate><atom:link href="https://bil.arikan.ca/tags/ai-infra/index.xml" rel="self" type="application/rss+xml"/><item><title>Local AI Lab --- Why I Want to Stop Relying on Cloud AI for Everything</title><link>https://bil.arikan.ca/posts/why-local-ai-lab/</link><pubDate>Thu, 21 May 2026 08:30:00 -0500</pubDate><guid>https://bil.arikan.ca/posts/why-local-ai-lab/</guid><description>&lt;p&gt;Using this post to think-out &lt;em&gt;why&lt;/em&gt; I am building a local AI lab on Proxmox before I get into any of the &lt;em&gt;how&lt;/em&gt;. The guiding question is simple : after a couple of years using the first wave of recent AI/LLM products &amp;mdash; ChatGPT, Gemini, CoPilot, Perplexity &amp;mdash; and a year of running against AI build tools and agentic harnesses &amp;mdash; Google AI Studio, Vertex AI, Gemini Live, Claude Cowork, Claude Code, Codex, Cursor, hosted Frontier models to do even more work &amp;mdash; what is the actual problem a local stack solves for me, and what is it not going to solve?&lt;/p&gt;</description></item></channel></rss>