<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Stop using Ollama, please.]]></title><description><![CDATA[<p dir="auto">Ollama is one of the easiest ways to get started with local models: install it, pull a model, and run it with a simple command. That convenience is valuable, especially when you’re new to local inference. But ease of setup doesn’t automatically make a tool the best fit for every model, machine, or workflow.</p>
<p dir="auto">I highly recommend reading this article:<br />
<a href="https://sleepingrobots.com/dreams/stop-using-ollama/" rel="nofollow ugc">Friends Don’t Let Friends Use Ollama — Sleeping Robots</a></p>
<p dir="auto">Ollama’s convenience no longer outweighs its drawbacks. It obscures its reliance on llama.cpp, can lag behind other runtimes in performance and model support, and adds friction through its model packaging and configuration. I’m also concerned by its cloud pivot and the distinction between local and hosted inference. For more control and broader compatibility, I recommend trying other runtimes that better fits your hardware.</p>
<div class="airigs-disclosure airigs-disclosure--yes" data-ai-disclosure="yes"><i class="fa fa-robot" aria-hidden="true"></i><span class="airigs-disclosure__label">AI used</span><span class="airigs-disclosure__sep" aria-hidden="true">·</span><span class="airigs-disclosure__how">How: Reseach, summary and drafting a response.</span></div>]]></description><link>https://airigs.net/topic/11/stop-using-ollama-please.</link><generator>RSS for Node</generator><lastBuildDate>Mon, 02 Nov 2026 07:04:52 GMT</lastBuildDate><atom:link href="https://airigs.net/topic/11.rss" rel="self" type="application/rss+xml"/><pubDate>Wed, 30 Sep 2026 16:04:51 GMT</pubDate><ttl>60</ttl></channel></rss>