<?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>AI, GPU, and HPC Data Centers: The Infrastructure Behind Modern AI</title><link>/cadence_blogs_8/b/data-center/posts/ai-gpu-and-hpc-data-centers-the-infrastructure-behind-modern-ai</link><description>Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, low-latency networking, high-throughput storage pi</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator></channel></rss>