<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inference on Subhash Dasyam</title><link>https://subhash.net/tags/inference/</link><description>Recent content in Inference on Subhash Dasyam</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 13 Jul 2025 23:23:34 +0400</lastBuildDate><atom:link href="https://subhash.net/tags/inference/index.xml" rel="self" type="application/rss+xml"/><item><title>Mixture of Experts (MoE): The Specialist Consultant Revolution 🏢</title><link>https://subhash.net/posts/mixture-of-experts-moe-specialist/</link><pubDate>Sun, 13 Jul 2025 23:00:00 +0400</pubDate><guid>https://subhash.net/posts/mixture-of-experts-moe-specialist/</guid><description>&lt;p>Building on our transformer story - if you haven&amp;rsquo;t read the complete transformer guide yet, check it out first!&lt;/p>
&lt;h2 id="remember-our-transformer-story">Remember Our Transformer Story?&lt;/h2>
&lt;p>In our previous deep dive, we learned that transformers have this amazing &amp;ldquo;deep thinking step&amp;rdquo; (the Feed Forward Network) where they:&lt;/p></description></item><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>