<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: DAFtwinTurbo</title><link>https://news.ycombinator.com/user?id=DAFtwinTurbo</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 01 Jun 2026 17:18:04 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=DAFtwinTurbo" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by DAFtwinTurbo in "AI on a Budget: Recompiling Llama.cpp for Qwen3.5 Inference on an HP Z440"]]></title><description><![CDATA[
<p>Hi hackernews,<p>I wrote a small blogpost on a little experiment I did last week-end. The goal was to see if I could get more tok/s performance from llama.cpp running the latest Qwen3.5 models. A 5.5x perf increase was achieved by 1. recompiling with optimization flags 2. using ik_llama.cpp!<p>The build I'm using is the 750 USD rig from Digital Spaceport.<p>Very cool to see more than usable speeds on a cheap setup like this.</p>
]]></description><pubDate>Tue, 10 Mar 2026 07:54:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=47320245</link><dc:creator>DAFtwinTurbo</dc:creator><comments>https://news.ycombinator.com/item?id=47320245</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47320245</guid></item><item><title><![CDATA[AI on a Budget: Recompiling Llama.cpp for Qwen3.5 Inference on an HP Z440]]></title><description><![CDATA[
<p>Article URL: <a href="https://jeanbaptistefleury.neocities.org/importance_of_inference_engines">https://jeanbaptistefleury.neocities.org/importance_of_inference_engines</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47320244">https://news.ycombinator.com/item?id=47320244</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 10 Mar 2026 07:54:35 +0000</pubDate><link>https://jeanbaptistefleury.neocities.org/importance_of_inference_engines</link><dc:creator>DAFtwinTurbo</dc:creator><comments>https://news.ycombinator.com/item?id=47320244</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47320244</guid></item></channel></rss>