Despite their impressive capabilities in generating content, large language models (LLMs) are not so great at designing hardware. Believing this weakness is due to a lack of hardware design data to train the models, Nvidia, Georgia Institute of Technology, and others have organized a contest to help create the needed open-source public dataset.
Nvidia’s director of design automation research, Haoxing (Mark) Ren, recently announced the collaboration on X (formerly known as Twitter). Ren said the shortage of high-quality data specific to hardware design was “one of the bottlenecks for LLM-Assisted Hardware Design.” To address these shortcomings, Nvidia and others organized the ICCAD Contest on LLM-Assisted Hardware Code Generation.
