NVIDIA and Cadence partner on accelerated design tools optimized for agentic AI chip architecture and system design.
Cadence and NVIDIA announced an expanded collaboration to accelerate Cadence's Design for AI and AI for Design strategy through agentic AI and physics-based design solutions. The partnership integrates Cadence's portfolio of chip and system design solutions with NVIDIA's accelerated computing stack. According to Anirudh Devgan, president and CEO of Cadence, "The fusion of agentic AI and physics-based design is transforming how the world's most advanced chips are engineered. Through our expanded collaboration with NVIDIA, we're bringing together Cadence's expertise in agentic IC design and physics-driven optimization with NVIDIA's accelerated computing to advance a new era of AI-driven chip innovation. Together, we're enabling customers to design more intelligent, efficient silicon that will power the next generation of computing and AI infrastructure." Jensen Huang, founder and CEO of NVIDIA, stated, "AI is driving the largest infrastructure buildout in history—spurring the creation of new chips, systems, and AI factories around the world. Together, NVIDIA and Cadence have created the Cadence Millennium M2000—a revolutionary AI supercomputer built to tackle the immense scale and complexity of designing the world's next generation of infrastructure."
Cadence has expanded its design solutions accelerated with NVIDIA Grace CPUs and NVIDIA Blackwell GPUs, available as a turnkey deployment on the Cadence Millennium M2000 Supercomputer, delivering up to 80X greater throughput and up to 20X lower power consumption. The expanded offering spans analysis, optimization and design, with key solvers deeply optimized with NVIDIA CUDA-X. The Cadence Clarity 3D Solver demonstrates that a Millennium M2000 system configured with 8X NVIDIA RTX pro 6000 GPU servers is up to 5X faster, or 4X better cost iso-performance, compared to an equivalent CPU-based solution when extracting complex and large-scale designs. Solutions available in 2026 include integration of the Cadence Allegro X Design Platform and Cadence Reality Digital Twin Platform with NVIDIA Omniverse libraries for photo-realistic visualization, and integration of Cadence's MSC Virtual Test Drive with NVIDIA Cosmos and NVIDIA Omniverse NuRec for advancing physical AI.
Cadence is advancing AI-driven engineering through the Cadence ChipStack AI Super Agent and the Reality Digital Twin Platform, which helps teams use physics-based models and AI to design and operate AI factories, accelerating deployment timelines. The company is collaborating with NVIDIA on future agentic AI innovations in custom and analog design, including development of NVIDIA NemoClaw, an open source stack for running OpenClaw always-on assistants more safely with a single command. As part of the NVIDIA Agent Toolkit, it installs the NVIDIA OpenShell runtime—a secure environment for running autonomous agents and open source models like NVIDIA Nemotron.
Cadence customers across semiconductors, automotive, aerospace and life sciences are using agentic AI and GPU-accelerated solutions to tackle design challenges previously unachievable with traditional approaches. Honda is using Cadence Fidelity CFD Software accelerated on the Millennium M2000 GB200 NVL72 system to pursue time-accurate, full turbofan engine simulation—a grand challenge in computational fluid dynamics previously impractical for routine design use. According to Keiji Otsu, CEO of Honda R&D, "This capability opens the door to a more exploratory design methodology—one where our engineers can evaluate tradeoffs earlier and innovate with greater confidence as we develop the next generation of high-performance gas turbine engines." Micron is integrating GPU-accelerated Cadence design technologies and agentic AI solutions into its HBM memory design flow to accelerate iteration and maintain accuracy at leading-edge scale. Sanjay Mehrotra, Chairman, president and CEO of Micron, stated, "As our HBM and next-generation memory designs grow in scale and complexity, reducing the cycle time for our most demanding verification and simulation steps has become essential. Through our expanded collaboration with Cadence, we're integrating GPU-accelerated design technologies—powered by NVIDIA computing—and building agentic AI directly into our development environment." Larsen & Toubro Semiconductor is using the Cadence Spectre X Simulator, accelerated up to 5X with NVIDIA GPUs, to shorten design cycles for next-generation AI and data center chips as the company advances India's sovereign semiconductor ambitions.