<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ray on Portraits</title><link>https://jiangxt2.github.io/en/topics/ray/</link><description>Recent content in Ray on Portraits</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 17 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jiangxt2.github.io/en/topics/ray/index.xml" rel="self" type="application/rss+xml"/><item><title>Ray</title><link>https://jiangxt2.github.io/en/docs/ray/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/en/docs/ray/</guid><description>Understand Ray&amp;rsquo;s distributed application model through Tasks, Actors, and scheduling.</description></item><item><title>Spark vs Ray: batch processing and distributed applications</title><link>https://jiangxt2.github.io/en/comparisons/spark-vs-ray/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/en/comparisons/spark-vs-ray/</guid><description>Understand Spark and Ray through computation models, scheduling, data work, and ecosystem boundaries.</description></item><item><title>What is shuffle?</title><link>https://jiangxt2.github.io/en/concepts/shuffle/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/en/concepts/shuffle/</guid><description>Why distributed systems redistribute data, and where shuffle cost comes from.</description></item></channel></rss>