Siemens expands NVIDIA partnership for EDA AI workflows

Key Takeaways

• Siemens expands partnership with NVIDIA for EDA AI workflows
• Integration of NVIDIA AI technology into Siemens Fuse EDA AI Agent
• Support for self-verifying agentic AI workflows in electronic design automation
• Enhanced capabilities for semiconductor and PCB design tasks
• Improved result quality, time-to-results, and tool-calling reliability

Introduction to EDA AI Workflows

Siemens has announced an expansion of its strategic partnership with NVIDIA to support advanced EDA AI workflows. This collaboration aims to enhance the Siemens Fuse EDA AI Agent system by incorporating NVIDIA AI technology, enabling long-running, domain-scoped agents to reason, act, and validate decisions against deterministic, physics-based EDA engines.

Self-Verifying AI Agents for Semiconductor and PCB Design

The Fuse EDA AI Agent combines Siemens engineering and verification capabilities with NVIDIA AI infrastructure technologies to support semiconductor design tasks. Key features include:

• EDA agents built with NVIDIA NeMo Gym for optimization of result quality, speed, and token efficiency
• Secure runtime with NVIDIA OpenShell for autonomous agents across EDA environments
• Reasoning with NVIDIA Nemotron and Switchyard for engineering trade-off analysis and long-running design workflows
• NVIDIA accelerated computing and CUDA-X libraries for AI reasoning and EDA engines

Comparison of EDA AI Workflow Technologies

End-to-End Design Automation

The Siemens Fuse EDA AI Agent orchestrates workflows across the semiconductor and PCB lifecycle, supporting domain-specific agents that can work across synthesis, verification, implementation, and validation processes. This comprehensive approach enables multi-agent coordination, real-time feedback, and convergence across design and verification flows.

Bottom Line

The expanded partnership between Siemens and NVIDIA aims to revolutionize EDA AI workflows by integrating advanced AI technologies into the Siemens Fuse EDA AI Agent system. With enhanced capabilities for semiconductor and PCB design tasks, this collaboration is expected to improve result quality, time-to-results, and tool-calling reliability, ultimately transforming the electronic design automation landscape.