The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

Understand

Within the Electronic Design Automation (EDA) domain, AI-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies.

• These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits.
• Such an AI4EDA approach falls short of achieving a holistic design synthesis and understanding, overlooking the intricate interplay of electrical, logical, and physical facets of circuit data.
• This paper argues for a paradigm shift from AI4EDA towards AI-native EDA, integrating AI at the core of the design process.