<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Inference on Sandeep Kumar</title><link>https://sandeep007734.github.io/tags/inference/</link><description>Recent content in Inference on Sandeep Kumar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 07 Aug 2026 00:00:00 +0530</lastBuildDate><atom:link href="https://sandeep007734.github.io/tags/inference/feed.xml" rel="self" type="application/rss+xml"/><item><title>FlashInfer: A Customizable Attention Engine for LLM Serving</title><link>https://sandeep007734.github.io/posts/flashinfer/</link><pubDate>Fri, 07 Aug 2026 00:00:00 +0530</pubDate><guid>https://sandeep007734.github.io/posts/flashinfer/</guid><description>How FlashInfer unifies heterogeneous KV-cache layouts, specialized attention kernels, and dynamic serving schedules in one inference-oriented engine.</description></item></channel></rss>