Reinventing engineering workflows with solver acceleration, AI physics, and agentic AI

Advances in accelerated computing, AI physics models, and agentic AI are opening a new chapter in how we design and validate everything from chips to complex mechanical systems. GPU accelerated solvers and AI physics surrogates plug into CAE and EDA environments to dramatically shorten iteration cycles and enable richer “what if” exploration, while agentic AI systems like Siemens’ Fuse EDA AI orchestrate complex workflows so experts can stay focused on engineering decisions.

This session presents practical examples of how these capabilities turn simulation and verification from slow, one way steps into interactive loops where faster engines and agent assisted engineers explore more of the design space and connect results into digital and physical twins. Looking forward, it outlines an AI native engineering environment in which domain experts stay in control while NVIDIA’s accelerated computing platform and Siemens’ software and agents work in tandem to optimize, test, and prepare designs for manufacturing—delivering faster tools, smarter workflows, and more resilient engineering teams.