Cadence Design Systems and NVIDIA have expanded their collaboration to advance accelerated engineering solutions aimed at enabling agentic AI-driven chip and system design. The partnership focuses on combining Cadence’s design software expertise with NVIDIA’s accelerated computing platforms to support the next generation of intelligent semiconductor and system development.
The initiative builds on Cadence’s “Design for AI and AI for Design” strategy, introducing agentic AI systems capable of executing long-running, autonomous design workflows. These systems are designed to translate design intent into automated processes, generate optimized designs, identify errors, and manage complex end-to-end engineering tasks with minimal human intervention.
At the core of this collaboration is the integration of Cadence’s physics-based design tools with NVIDIA’s high-performance computing stack. The approach aims to ensure that AI-driven design processes remain grounded in real-world physical constraints, enabling more reliable and efficient chip development.
According to Anirudh Devgan, President and CEO of Cadence, the convergence of agentic AI and physics-based design is reshaping how advanced semiconductors are engineered. He noted that the collaboration is intended to help customers design more intelligent and efficient silicon to support next-generation computing and AI infrastructure.
Jensen Huang, Founder and CEO of NVIDIA, highlighted the broader industry context, pointing to the rapid expansion of AI infrastructure globally. He stated that the collaboration has led to the development of the Cadence Millennium M2000, a purpose-built AI supercomputer designed to address the complexity of modern chip and system design.
The Cadence Millennium M2000 system integrates NVIDIA Grace CPUs and Blackwell GPUs, delivering up to 80 times higher throughput and up to 20 times lower power consumption compared to traditional computing approaches. The system is optimized for large-scale simulation, analysis, and design workloads, enabling engineers to process increasingly complex designs more efficiently.
Cadence has also expanded its portfolio of accelerated solutions across electronic design automation (EDA) and system design automation (SDA). These include tools such as the Innovus Implementation System for chip design, the Voltus IC Power Integrity Solution, and the Clarity 3D Solver for large-scale electromagnetic analysis. Many of these solutions are optimized using NVIDIA CUDA-X libraries to enhance performance.
Beyond semiconductor design, the collaboration extends into system-level and multidisciplinary engineering applications. Cadence platforms such as the Allegro X Design Platform and Reality Digital Twin Platform are being integrated with NVIDIA Omniverse technologies to enable advanced visualization and simulation capabilities.
In addition, Cadence is leveraging AI in life sciences through solutions like ROCS X and Target X, which apply AI-driven modeling and physics-based analysis to accelerate drug discovery processes.
