<?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 Subhash Dasyam</title><link>https://subhash.net/tags/ollama/</link><description>Recent content in Ollama on Subhash Dasyam</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 27 May 2025 06:44:01 +0400</lastBuildDate><atom:link href="https://subhash.net/tags/ollama/index.xml" rel="self" type="application/rss+xml"/><item><title>Complete Guide to LLM Inference Servers: From Basics to Production</title><link>https://subhash.net/posts/complete-guide-to-llm-inference-servers/</link><pubDate>Mon, 26 May 2025 19:55:00 +0400</pubDate><guid>https://subhash.net/posts/complete-guide-to-llm-inference-servers/</guid><description>&lt;hr>
&lt;h2 id="introduction-why-inference-servers-matter">Introduction: Why Inference Servers Matter&lt;/h2>
&lt;p>Imagine you&amp;rsquo;ve trained the perfect AI model that can answer any question, write code, or help with complex reasoning. But there&amp;rsquo;s a catch: it takes 30 seconds to respond to each query, can only handle one user at a time, and requires expensive hardware that costs $50,000 per month to run.&lt;/p></description></item></channel></rss>