<?xml-stylesheet type="text/xsl" href="https://community.cadence.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>How 224G SerDes Unifies Today’s AI Fabrics</title><link>/cadence_blogs_8/b/data-center/posts/how-224g-serdes-unifies-today-s-ai-fabrics</link><description>AI system architects no longer face a binary choice between scale-up and scale-out fabrics. Modern AI platforms require both to be executed efficiently, predictably, and within aggressive schedules. The shift lies in how risk is managed across these </description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator></channel></rss>