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This session will delve into the transformative role of AI-assisted design techniques and generative AI technologies in optimizing chip design workflows. By integrating domain-adapted Large Language Models (LLMs) and NVIDIA NIM (Neural Inference Microservices), we address escalating complexity and automate repetitive tasks, significantly enhancing design efficiency.

Explore how NVIDIA GPUs and the cuLitho software library are revolutionizing optical proximity correction in semiconductor manufacturing. This talk will highlight the significant improvements in precision, efficiency, and speed achieved through GPU-powered parallel processing.

Join us to discover how NVIDIA's Grace CPU and Hopper GPU architecture is doubling SPICE simulation performance. This session will focus on how these advancements reduce turnaround times for complex analog and mixed-signal designs while maintaining high accuracy.