Chenhui Deng

Chenhui Deng is a senior research scientist at NVIDIA, where he focuses on advancing large language models for chip design. His research lies at the intersection of machine learning and electronic design automation (EDA), with the goal of developing AI-driven solutions for next-generation chip design. He has led a series of works on custom LLM training and agentic AI methods for RTL code generation and optimization, including ScaleRTL, ACE-RTL, and ASPEN. Prior to joining NVIDIA, he earned his PhD from Cornell University.
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Posts by Chenhui Deng

Agentic AI / Generative AI

NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware... 9 MIN READ