Introducing An Agentic LLM For Chip Design


By Tanay Biradar, Surya Gunukula, Tengxiao Liu, and Kexun Zhang ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means "renew." In early chip design benchmarks, Renoir outperforms the base model it was trained on and cuts costs by more than half. Furthermore, it can run entirely on-premises, allowing semiconductor companies to develop faster without compromi... » read more

Autonomous ASIC Root Cause Analysis


By Mehir Arora and Zackary Glazewski Over 50% of frontend ASIC hardware engineering time is spent on debugging and root cause analysis, spent churning through millions of lines of code and terabytes of waveform data. Despite this, there are no existing solutions for autonomous root cause analysis that use both code and waveform data. ChipAgents Root Cause Analysis (ChipAgents RCA) is the fir... » read more

AI Agents For UVM Generation: Challenges And Opportunities


By Yuheng Tang and Kexun Zhang In the last two years, the role of AI tools in developers' workflows has rapidly expanded. What were once simple "code completion" engines have since evolved into agents that can read documentation, test their own code, and improve via self-reflection. While AI has already begun enhancing RTL design workflows, its exploration in verification remains in early st... » read more