Siemens has revealed a new suite of AI-powered tools to optimize semiconductor and printed circuit board design, significantly accelerating the development process and boosting productivity. These new technologies aim to bring a true revolution to the electronics industry.
Article Contents:
- Introduction
- Siemens Announcement
- New EDA AI System
- Key Features
- Partnership with NVIDIA
- Productivity Gains
- Security Aspects
- Industry Impact
- Future Outlook
- Conclusion
Introduction
In a significant step toward advancing the semiconductor industry, Siemens Digital Industries Software unveiled an advanced suite of AI-driven tools at the Design Automation Conference 2025. These new tools aim to improve productivity and accelerate time-to-market in electronics development.
Siemens Announcement
During the Design Automation Conference 2025, Siemens demonstrated how artificial intelligence can enhance productivity and accelerate time-to-market for the electronic design automation industry. The company is showcasing its capabilities in integrating artificial intelligence across all workflows of electronic circuit design.
Joe Sawicki, executive vice president of Siemens EDA, stated: “We are strategically investing in developing advanced industrial AI solutions specifically tailored to the unique complexities of electronic design automation. This accumulated expertise forms the technological foundation that empowers our customers to bring market-leading semiconductor and printed circuit board designs to market with unprecedented speed.”
New EDA AI System
The new EDA AI system is specifically designed for semiconductor and printed circuit board design environments, offering secure generative and agentic AI capabilities with customizable options that integrate across the full electronic design automation workflow.
The system allows customers to incorporate their own electronic design automation data and build custom workflows using advanced artificial intelligence. It provides enterprise-grade security, customizable access control, and flexible deployment options including on-premises or cloud solutions, ensuring data protection within customers’ secure data centers.
Key Features
Artificial intelligence capabilities extend across Siemens’ entire EDA portfolio. The Aprisa AI software delivers 10x higher productivity, a 3x faster time to tape-out, and a 10% improvement in power, performance, and area for digital designs.
The Calibre Vision AI software helps design teams identify and fix critical design violations in half the time required by current methods. Additionally, Solido now utilizes Siemens’ EDA AI system to deliver advanced generative and agentic AI capabilities across the Solido Custom IC platform.
Partnership with NVIDIA
Siemens’ EDA AI system supports NVIDIA NIM microservices and NVIDIA Llama Nemotron models. NVIDIA NIM enables scalable deployment of inference-ready models across various environments, while Llama Nemotron adds high-context reasoning and tool-calling capabilities for automation across electronic design automation workflows.
Tim Costa, senior director of CAE and CUDA-X at NVIDIA, said: “AI agents can dramatically increase productivity for complex electronic design automation to support engineers through optimized planning, simulation, and verification, freeing engineers to focus on creative problem-solving and advanced design challenges.”
Productivity Gains
The figures provided by Siemens are impressive. Aprisa AI achieves 10 times higher productivity compared to traditional methods, representing a massive improvement in an industry that demands high precision and rapid development.
The time required to reach tape-out—the final stage in integrated circuit design—has been reduced by an average of 3 times. This improvement translates into significant time and cost savings for semiconductor companies.
Security Aspects
The system provides enterprise-grade security with customizable access control. This is crucial in the semiconductor industry, where designs and technologies are considered highly sensitive trade secrets.
Flexible deployment options include on-premises or cloud solutions, allowing companies to choose the method that suits their security and operational requirements. Data protection within customers’ secure data centers ensures the confidentiality of sensitive information is maintained.
Industry Impact
This development comes at a time when the semiconductor industry faces growing challenges in complexity and the need for rapid development. The rising demand for advanced chips for artificial intelligence, smartphones, and smart vehicles requires more efficient design tools.
Siemens’ EDA AI system is currently available for early access across the Siemens EDA portfolio. Siemens Digital Industries Software helps organizations transform digitally using software, hardware, and services from the Siemens Xcelerator business platform.
Future Outlook
These advancements are expected to accelerate innovation across the electronics industry as a whole. Generative and agentic AI capabilities will enable engineers to focus on the creative and innovative aspects of design rather than routine tasks.
Collaboration with NVIDIA indicates that Siemens is looking to leverage the latest developments in artificial intelligence and parallel computing. This cooperation could lead to further innovations in the future.
Conclusion
Siemens’ announcement of new EDA AI tools represents a major shift in the semiconductor design industry. With substantial productivity enhancements, advanced security features, and integration with NVIDIA technologies, Siemens positions itself in a leadership role for the future of electronics design. These developments will help companies face growing industry challenges and accelerate the pace of technological innovation.
