This article is part of the VB Lab Microsoft / NVIDIA GTC insight series. With the rapid pace of change taking place in AI and machine learning technology, it's no surprise Microsoft had its usual strong presence at this year's Nvidia GTC event. Representatives of the company shared their latest machine learning innovations in multiple sessions, covering inferencing at scale, a new capability to train machine learning models across hybrid environments, and the debut of the new PyTorch Profiler that will help data scientists be more efficient when they're analyzing and troubleshooting ML performance issues. In all three cases, Microsoft has paired its own technologies, like Azure, with open source tools and NVIDIA's GPU hardware and technologies to create these powerful new innovations. Much is made of the costs associated with collecting data and training machine learning models.