Siemens

  • Siemens Unveils AI-Enhanced EDA Toolset at DAC 2025

    Siemens Unveils AI-Enhanced EDA Toolset at DAC 2025

    At DAC 2025 in San Francisco, Siemens Digital Industries Software introduced an AI-enhanced EDA toolset designed to accelerate semiconductor and PCB design workflows. The centerpiece is a purpose-built EDA AI system that combines secure, generative and agentic AI with deep customization and seamless integration across the entire EDA flow. Siemens frames the system as a strategic investment to help design teams handle increasing complexity and bring breakthrough designs to market faster.

    The EDA AI system supports open, customizable workflows: customers can ingest their own EDA data, tailor AI-driven processes, and deploy AI where it adds the most value. Deployment is flexible (on-premises or cloud) with enterprise-grade security, robust access controls, and a centralized multimodal data lake that supports a range of AI models, from large language models to traditional ML and reinforcement learning.

    Siemens is leveraging NVIDIA technologies to accelerate EDA tasks, including NVIDIA NIM microservices for scalable inference across cloud and on-premises, and the Llama Nemotron for enhanced context reasoning and tool-calling. Industry perspectives from NVIDIA note that AI agents can significantly boost productivity across layout optimization, simulation, and verification.

    Key portfolio components highlighted include:
    – Aprisa AI: integrated into RTL-to-GDS flow, offering AI-driven design exploration, PPA optimization, and a 10x productivity boost, with 3x faster tapeout and around 10% better PPA.
    – Calibre Vision AI: chip-integration signoff with clustering, state bookmarks, and collaboration enhancements, integrated into existing layout viewers.
    – Solido: generative and agentic AI across the custom IC process from schematic to verification, enabling substantial productivity gains.

    Availability is currently in early access across Siemens EDA offerings, with more details on Siemens’ EDA AI pages.