Cadence has expanded its collaboration with NVIDIA to advance its Design for AI and AI for Design strategy, introducing next-generation agentic AI solutions for chip and system design. The partnership focuses on integrating Cadence’s physics-based design tools with NVIDIA’s accelerated computing stack to enable autonomous, long-running AI agents capable of generating designs, debugging errors, and managing complex workflows. At the heart of this effort is the Cadence Millennium M2000 supercomputer, which is intended to manage the scope and intricacy of next-generation infrastructure development. The expanded product portfolio will feature NVIDIA Grace CPUs, Blackwell GPUs, and CUDA-X optimization technologies to offer 80 times greater throughput and 20 times lower power consumption in design, analysis, and optimization workflows.
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Cadence’s solutions span electronic design automation, system design, and even life sciences applications, highlighting the growing convergence of AI and engineering disciplines. “The fusion of agentic AI and physics-based design is transforming how the world’s most advanced chips are engineered,” said Anirudh Devgan, president and CEO of Cadence. “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.”
