Siemens targets design with GenAI

During the event, Siemens is showcasing how AI can improve productivity, accelerate time to market for the EDA industry and enable customers to explore innovation opportunities at the rapidly increasing pace that the market demands.  

Siemens is demonstrating a new EDA AI system specially designed for semiconductor and PCB design environments. The purpose-built EDA AI system delivers secure, advanced generative and agentic AI capabilities, offering unparalleled customisation capabilities and seamless integration across the entire EDA workflow.  

“We are strategically investing in developing sophisticated industrial-grade AI solutions purpose-built for the unique complexities of EDA. This accumulated expertise forms the technological foundation that empowers our customers to bring breakthrough semiconductor and PCB designs to market faster than ever before,” said Mike Ellow, CEO, Siemens EDA, Siemens Digital Industries Software. “Siemens is set to revolutionise the way design teams operate, ushering in a future where generative and agentic AI capabilities are seamlessly integrated into every aspect of the EDA workflow.”                

Using the new EDA AI System, customers can integrate their own EDA data and create custom workflows using advanced AI, enabling teams to deploy AI where it adds the most value - enhancing adoption and competitiveness without disrupting workflows. With enterprise-grade security, customisable access control and flexible deployment options (on-premises or Cloud), Siemens delivers data protection completely within customers’ secure data centres. In addition, it provides a strong data flywheel effect utilising a centralised multimodal data lake that boosts productivity through each interaction while supporting various AI models, including large and small language models, and machine and reinforcement learning. 

As well as in-house infrastructure and third-party models, Siemens’ EDA AI system also supports NVIDIA NIM microservices and NVIDIA Llama Nemotron models. NVIDIA NIM facilitates the scalable deployment of inference-ready models across Cloud and on-premises environments, supporting real-time tool orchestration and multi-agent systems. Llama Nemotron adds high context reasoning and robust tool-calling for more intelligent automation across the EDA workflow.    

“AI agents can dramatically boost productivity for complex electronic design automation to support engineers across layout optimisation, simulation and verification, freeing engineers to focus on creative problem-solving and advanced design challenges,” said Tim Costa, Senior Director of CAE and CUDA-X, NVIDIA. “With NVIDIA NIM microservices and Llama Nemotron reasoning models, Siemens EDA can speed the development of tomorrow’s most intricate electronic systems.”