<?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>Cadence Integrates NVIDIA NIM Microservices into Its Design Process</title><link>/cadence_blogs_8/b/corporate-news/posts/nvidia-ai-microservices</link><description>From semiconductors to pharmaceuticals, incorporating tailored AI applications into design has become crucial for accelerating the discovery process. However, using AI requires vast datasets for training, which necessitates safeguarding sensitive inf</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator></channel></rss>