Cadence Design Systems and NVIDIA have expanded their strategic partnership to accelerate innovation in the era of artificial intelligence and high-performance computing, unveiling a collaborative framework that integrates agentic AI, physics-based simulation, and digital twin technologies to transform engineering workflows across semiconductors, physical AI systems, and hyperscale AI factories; announced at CadenceLIVE Silicon Valley 2026, the collaboration combines Cadence’s strengths in electronic design automation (EDA) and system design with NVIDIA’s accelerated computing ecosystem including CUDA-X, AI physics, and Omniverse libraries to significantly enhance productivity, accuracy, and speed in complex design processes while enabling end-to-end automation through intelligent, long-running AI agents capable of generating, optimizing, and debugging designs; the partnership also leverages advanced infrastructure such as the Cadence Millennium M2000 Supercomputer powered by NVIDIA platforms to deliver scalable performance and real-time simulation capabilities, addressing the growing complexity of next-generation chip design and large-scale AI systems.
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“Cadence and NVIDIA are accelerating Cadence EDA and SDA solutions with NVIDIA CUDA-X, AI-physics, Omniverse libraries and the Cadence® Millennium™ M2000 Supercomputer, powered by NVIDIA AI infrastructure,” highlighting the deep integration of both companies’ technologies, while Cadence CEO Anirudh Devgan emphasized the broader industry impact, stating, “Agentic AI and digital twins are reshaping the entire engineering landscape from semiconductor design to planetary-scale AI systems,” underscoring how the collaboration bridges design and physical realization through unified AI-driven platforms; beyond chip design, the partnership extends into areas such as robotics and AI training, where physics-accurate simulation environments can generate high-quality synthetic data to accelerate development cycles and reduce real-world testing constraints, ultimately enabling faster deployment of intelligent systems; this expanded alliance reflects a broader industry shift toward converging AI, simulation, and high-performance computing, positioning both companies to lead the transformation of engineering into a more autonomous, data-driven discipline that can keep pace with the rapidly evolving demands of AI-powered industries.
