<?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>Scale Up vs. Scale Out in Modern AI Factories</title><link>/cadence_blogs_8/b/data-center/posts/scale-up-versus-scale-out-in-modern-ai-factories</link><description>Choosing pod fabrics, planning bisection bandwidth, and managing ordering semantics
Two Worlds Inside the AI Factory
As AI factories scale into tens of thousands of accelerators, architects must navigate two very different networking worlds. Inside a</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator></channel></rss>