Cadence has announced its agentic AI solution for front-end silicon design and verification – ChipStack AI Super Agent – calling it a “transformative step” in redefining how semiconductors are designed. ChipStack is an agentic workflow for automating chip design and verification, promising up to 10X productivity improvements for coding designs and testbenches, creating test plans, orchestrating regression testing, debugging and automatically fixing issues.
“ChipStack represents a major leap in our design-for-AI and AI-for-design strategy, applying agentic AI directly to our customers’ front-end flows to tackle the growing complexity and scale of modern chips,” said Anirudh Devgan, president and CEO, Cadence.
“By leveraging intelligent agents that autonomously call our underlying tools, we are enabling dramatic productivity gains for our customers in critical design and verification tasks while freeing scarce engineering talent to focus on innovation,” added Devgan.
This agentic AI solution orchestrates multiple virtual engineers, all using Cadence’s foundational EDA tools. It integrates AI with Cadence optimisation AI and AI assistant solutions, which have already been used in over 1,000 tapeouts to date.
The ChipStack AI Super Agent flexibly supports cloud-based and on-premises frontier models, including open NVIDIA Nemotron models that can be customised with NVIDIA NeMo and cloud-hosted models such as OpenAI GPT, to improve designer productivity. This continues the fulfillment of the vision of a true “silicon agent,” spanning the many disciplines and workflows needed to deliver the next generation of intelligent devices.
“Our customers are facing a significant senior deficit in the engineering talent needed to deliver on their product roadmaps,” said Paul Cunningham, vice president and general manager of Research and Development, Cadence. “Our ChipStack AI Super Agent is a game changer for design and verification productivity, and deployments are ramping fast.”
The Cadence ChipStack AI Super Agent is available now in early access. For more information, please visit Cadence’s AI for Design product page.
