Synopsys and NVIDIA Collaborate to Deliver Agentic AI, Accelerated Computing, and AI Physics

Synopsys is unveiling several collaborations with NVIDIA, 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.

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 aircrafts, automobiles, and more, according to the company.

"The pace of engineering is accelerating despite increasing, systemic complexity—a testament to the incredible capability and performance gains that AI and GPU-acceleration are bringing across our portfolio," said Shankar Krishnamoorthy, chief product development officer at Synopsys. "Synopsys is leading this transformation for our customers with pioneering AI capabilities and the industry's broadest portfolio of GPU-accelerated products. Together with NVIDIA, we are a catalyst for next-generation engineering capabilities, velocity, and ingenuity."

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, Synopsys said. 

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 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.

"AI is redefining what's possible in engineering and design," said Tim Costa, GM industrial and computational engineering, NVIDIA. "With NVIDIA AI physics technologies and agentic AI integrated within Synopsys tools, engineers are empowered to simulate the complexities of the real world with extraordinary fidelity and speed to tackle their most ambitious challenges."

For more information about this news, visit www.synopsys.com.