<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ollama on Linux Colorado</title><link>https://www.linuxcolorado.com/tags/ollama/</link><description>Recent content in Ollama on Linux Colorado</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 05 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.linuxcolorado.com/tags/ollama/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Headless AI Workstation: Ubuntu Server + RTX 3060 + Ollama, Zero-Touch from a USB Stick</title><link>https://www.linuxcolorado.com/post/2026-08-05-ai-workstation-rtx3060-ollama/</link><pubDate>Wed, 05 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.linuxcolorado.com/post/2026-08-05-ai-workstation-rtx3060-ollama/</guid><description>&lt;p&gt;Several of my homelab projects want a local GPU for inference — running a vision LLM for OCR, offloading work that would otherwise hit a cloud API, keeping a small model resident and fast. So I built a dedicated box for it: a &lt;strong&gt;Dell Precision 3640&lt;/strong&gt; (i3-10105F, 16 GB) with a &lt;strong&gt;Gigabyte RTX 3060 12 GB&lt;/strong&gt;, running &lt;strong&gt;Ubuntu Server&lt;/strong&gt; and serving a vision model through &lt;strong&gt;Ollama&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Two things made this worth writing up. First, the actual GPU-serving setup has a few non-obvious choices (which driver, no CUDA Toolkit, exposing the port safely). Second — the fun part — I made the whole install &lt;strong&gt;zero-touch&lt;/strong&gt;: plug in a USB stick, walk away, and the box comes up on a &lt;strong&gt;static IP with SSH pubkey auth ready&lt;/strong&gt;, no monitor or keyboard ever attached. This post covers both, and both live as reusable docs/scripts in my &lt;a href="https://github.com/vlouvet/infra-config"&gt;&lt;code&gt;infra-config&lt;/code&gt;&lt;/a&gt; repo.&lt;/p&gt;</description></item></channel></rss>