Cadence And Nvidia Team To Develop First Fully Autonomous EDA Agent

InnovationEnterprise TechCadence And Nvidia Team To Develop First Fully Autonomous EDA AgentByKarl Freund,Contributor.Forbes contributors publish independent expert analyses and insights. Founder and Principal Analyst, Cambrian-AI Research LLCFollow AuthorJun 01, 2026, 01:30am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.Back in February, Cadence laid our their vision of the path to a fully autonomous chip design agentCadenceAI silicon complexity is outpacing engineering scale—even at NVIDIA’s headcount. Autonomy is becoming existential, not a nice-to-have. And EDA vendors are rusing in to fill that need.In February, Cadence Design rocked the chip world by announcing they had developed the world’s first agentic AI that can automate the tasks that comprise the art of turning chip specifications into a verified design. As I noted then, this new “Super Agent” can significantly speed the time needed and deliver some 10X productivity improvements for coding designs and test benches. The Super Agent, born from Cadence’s acquisition of ChipStack last year, creates test plans, orchestrates regression testing, debugs issues, and automatically fixes them, based on a “mental model” of the design and accesses other agentic AI to complete the steps. (We note with pride that both Cadence and Nvidia are clients of Cambrian-AI Research.)The ChipStack AI Super Agent ties all the design pieces together to work autonomously to orchestrate the end to end design process, eventually tying all the elements together using the Cadence EDA suite.CadenceDidn’t Cadence Already Do This?Cadence had taken the first step, but the process still relied on step-by-step prompts to orchestrate the workflow. A human still had to step through the process, iterating and converging on a design that meets specs at an desired set of parameters and tradeoffs. That is a great step forward, but a demanding customer, a.k.a. Nvidia, need...