<?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 Sagnik Das</title><link>/tags/inference/</link><description>Recent content in Inference on Sagnik Das</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 05 Jun 2026 19:57:47 +0530</lastBuildDate><atom:link href="/tags/inference/index.xml" rel="self" type="application/rss+xml"/><item><title>Inferencemaxxing</title><link>/posts/inferencemaxxing/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>/posts/inferencemaxxing/</guid><description>AI Inference learnings Experiments (Threads/Blogs/Articles) # Topic Link 1 Inference comparison PyTorch vs vLLM — Qwen2.5-1.5B-Instruct Comparison 2 kv cache Why do we need KV cache? 3 prefill and decode What actually happens inside an LLM when you send a prompt? Learning Resources Prefill decode basics redis tech blog about p/d
Disaggregated infernce distServe - split p/d in diff gpus
Continuous Batching for LLM Inference — How batching works and how to optimize for better performance.</description></item></channel></rss>