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Synopsys Spotlights Agentic AI, Accelerated Computing, and AI Physics at NVIDIA GTC Washington, D.C
Through collaboration with NVIDIA, Synopsys is enhancing AI integrations for smarter manufacturing, chip design, and physics simulation, enabling AI and GPU-accelerated computing across engineering workloads.
www.synopsys.com
At NVIDIA GTC, Synopsys, Inc. showcased advancements in engineering solutions from silicon to systems that will underpin the next era of industrial innovation. Now united with Ansys, Synopsys' expanded portfolio accelerates engineering productivity, improves product performance, and unlocks development insights, from semiconductor design at the atomic scale to large physical systems like aircraft, automobiles, and more.
Through collaboration with NVIDIA, Synopsys is enhancing AI integrations for smarter manufacturing, chip design, and physics simulation, enabling AI and GPU-accelerated computing across engineering workloads — making engineering smarter, faster, and more intuitive.
Synopsys made the following announcements during the event:
A new Agentic AI collaboration for next-generation semiconductor development
Synopsys is collaborating with NVIDIA to enable a new frontier of AI-enabled chip design. By integrating Synopsys AgentEngineer™ technology with the NVIDIA NeMo Agent Toolkit including NVIDIA Nemotron open models and data, Synopsys is supercharging the development of autonomous design flows to enhance engineering productivity, improve design quality, and accelerate time to market and industry innovation.
For example, Synopsys chip design agents in development used for formal verification flows boost signoff depth and efficiency as well as identify critical bugs that would have been missed by manual review — demonstrating the transformative power of AI as an optimizer, assistant, and collaborator in engineering. NVIDIA is currently piloting Synopsys AgentEngineer technology for AI-enabled formal verification, further validating its real-world impact on advanced design processes.
Synopsys is expanding its GPU-accelerated software portfolio, which today is the industry's broadest with nearly 20 products, to address compute-intensive workloads, including:
- Lightning-fast physics: Ansys Fluent® fluid simulation software achieved a 500x speedup by leveraging GPU-accelerated computing and AI initialization. Ansys Fluent manages workloads 50x faster when running on eight NVIDIA Blackwell GPUs compared to 258 CPU cores. Using the NVIDIA PhysicsNeMo AI physics framework and NVIDIA DoMINO NIM to initialize the simulation multiplies GPU time gains by 10x due to the higher accuracy of the initial solution, meaning a simulation that once took two weeks could be completed in approximately 40 minutes.
- Materials exploration: In addition, Synopsys is delivering significant advancements in computational materials simulation, leveraging NVIDIA accelerated computing to drive faster, more efficient research in materials and semiconductor design. By integrating Synopsys QuantumATK® atomistic simulation with NVIDIA CUDA-X libraries and Blackwell architecture, Synopsys is enabling engineering teams to achieve an up to 15x improvement in time to results for density functional theory (DFT) and Non-equilibrium Green's Function (NEGF) methods. This breakthrough empowers customers to simulate and analyze a diverse range of materials with unprecedented speed and efficiency, fueling the development of next-generation AI-powered applications, products, and systems.
Northrop Grumman Microelectronics Center (NGMC) uses Synopsys QuantumATK with NVIDIA GPUs to accelerate the development of next-generation materials for semiconductor solutions in both defense and commercial systems. By cutting development time from weeks to hours, this approach speeds up the innovation process by 6-10x and makes it possible to solve challenges that were once considered impossible.
