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Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell and AI to Speed Electronic Design Automation

In This Article:

Announcing Up to 30x Projected Performance Gains on the NVIDIA Grace Blackwell Platform to Speed Circuit Simulations for Next-Generation Semiconductors

News Highlights:

  • Today's GTC keynote featured Synopsys as part of the ecosystem with full-stack EDA suite acceleration across design, verification, and manufacturing on NVIDIA GPU and NVIDIA CUDA-X libraries.

  • Leveraging the NVIDIA GB200 Grace Blackwell Superchip, Synopsys PrimeSim is projected to accelerate circuit simulation by up to 30x.1

  • Leveraging the NVIDIA B200 Blackwell architecture, Synopsys Proteus is projected to accelerate computational lithography simulations by up to 20x.1

  • NVIDIA NIM inference microservices integration driving 2x faster time-to-information with generative AI-powered Synopsys.ai Copilot.2

  • Optimizing more than 15 Synopsys solutions for NVIDIA Grace CPU in 2025.

SUNNYVALE, Calif., March 18, 2025 /PRNewswire/ -- Synopsys Inc. (Nasdaq: SNPS) today announced the next phase of its work with NVIDIA to accelerate chip design up to 30x with the NVIDIA Grace Blackwell platform.

Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell and AI to Speed Electronic Design Automation
Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell and AI to Speed Electronic Design Automation

To achieve this speedup, Synopsys announced at the GTC global AI conference that it is using NVIDIA CUDA-X libraries to optimize its solutions for next-generation semiconductor development. The company is also expanding support for the NVIDIA Grace CPU architecture and enabling more than 15 Synopsys solutions in 2025.

"At GTC, we're unveiling the latest performance results observed across our leading portfolio when optimizing Synopsys solutions for the NVIDIA Blackwell platform to accelerate computationally-intensive chip design workflows," said Sassine Ghazi, president and CEO of Synopsys. "Synopsys technology is mission-critical to the productivity and capabilities of engineering teams from silicon to systems. By harnessing the performance of NVIDIA accelerated computing, we can help customers unlock new breakthroughs and deliver innovation even faster."

"Chip design is one of the most complex engineering challenges in human history," said Jensen Huang, founder and CEO of NVIDIA. "With NVIDIA Blackwell and CUDA-X, Synopsys is cutting simulation times from days to hours—advancing chip design to power the AI revolution."

Synopsys and NVIDIA are advancing a multi-year collaborative effort to accelerate electronic design automation (EDA) workloads. Synopsys is further applying NVIDIA accelerated compute architectures, including the NVIDIA GB200 Grace Blackwell Superchip, to achieve significant, projected runtime gains for workflows including circuit simulation, computational lithography, Technology Computer-Aided Design (TCAD), physical verification, and materials engineering. These accelerated workflows include: