Synopsys Spotlights Agentic AI, Accelerated Computing, and AI Physics at NVIDIA GTC Washington, D.C.

Rhea-AI Summary

Synopsys (NASDAQ: SNPS) highlighted Agentic AI, GPU-accelerated computing, and AI physics at NVIDIA GTC Washington, D.C. Oct 27-29, showcasing integrations with NVIDIA NeMo, PhysicsNeMo, DoMINO NIM, CUDA-X, and Blackwell GPUs to speed engineering from chip design to large-system simulation.

Key announced outcomes include Ansys Fluent achieving a 500x GPU+AI speedup and running 50x faster on eight Blackwell GPUs versus 258 CPU cores, simulations reduced from ~two weeks to ~40 minutes with AI initialization, and up to 15x faster DFT/NEGF materials results via QuantumATK on NVIDIA GPUs; NVIDIA is piloting Synopsys AgentEngineer for AI-enabled formal verification.

Positive

• Ansys Fluent achieved a 500x GPU+AI speedup
• Workloads run 50x faster on eight Blackwell GPUs versus 258 CPU cores
• Simulation time reduced from ~two weeks to ~40 minutes with AI initialization
• QuantumATK delivered up to 15x faster DFT/NEGF results on NVIDIA GPUs
• Nearly 20 GPU-accelerated products in Synopsys portfolio
• Northrop Grumman Microelectronics Center reported 6–10x faster materials development

Negative

• None.

Insights

Technology Partnerships & Applied AI Analyst

Synopsys expands AI and GPU partnerships with NVIDIA and Ansys, promising large speedups in simulation and chip verification.

Synopsys has integrated its AgentEngineer capabilities with NVIDIA NeMo Agent Toolkit and announced GPU-acceleration across atomistic and multiphysics tools, positioning the combined portfolio to shorten engineering cycles. The business mechanism is clear: embed agentic AI to automate and optimize design flows and use NVIDIA GPUs and AI frameworks to convert long-running simulations into interactive tasks.

The claims include dramatic runtime and throughput improvements—examples cite up to 500x speedup for fluid simulation, 50x gains on eight Blackwell GPUs versus 258 CPU cores, and up to 15x faster DFT/NEGF results—so the value depends on real-world reproducibility, workload mix, and integration into customer workflows. Risks and dependencies include customer validation of those gains, the maturity of agentic verification agents, and how broadly pilots (such as NVIDIA piloting AgentEngineer) scale across complex designs.

Watch for concrete adoption signals over the next 6–18 months: published benchmarks on representative workloads, broader customer case studies beyond pilot users, and product availability updates at/after October 29. If benchmark claims hold in independent tests and customers adopt automated flows, the announcement meaningfully raises Synopsys’ engineering utility and time-to-result for compute-heavy customers.

SUNNYVALE, Calif., Oct. 28, 2025 /PRNewswire/ -- Synopsys, Inc. (NASDAQ: SNPS) is attending NVIDIA GTC Washington, D.C. October 27-29 to showcase 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 aircrafts, 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.

"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."

"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."

Synopsys made the following announcements during this week's 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.

Join Synopsys at NVIDIA GTC Washington, D.C.

Attendees can visit booth #252 or attend the theater presentation or panel discussions to learn more about how Synopsys solutions in AI, silicon design, and simulation leverage GPU acceleration to improve performance, scalability, and efficiency across industries. See our experts on stage:

• Panel presentation: Shankar Krishnamoorthy, Chief Product Development Officer at Synopsys, will discuss how accelerated computing and advanced AI are enabling faster, smarter EDA and multiphysics simulation solutions.
  • Accelerating Next Generation Chip Design with Agentic AI and GPUs | October 29 | 10:00 – 10:40am ET
    
    
• Panel presentation: Dr. Mark Palmer, Field CTO and Lead Chief Technologist of Healthcare at Synopsys, will discuss how digital technologies will speed drug development and improve patient outcomes with more personalized medicine.
  • New Frontiers in Clinical Development — Where Digital AI Meets Physical AI | October 29 | 2:00 – 2:40pm ET
    
    
• Theater session: Arun Bhattacharya, Global Head of Ecosystem Marketing at Synopsys, will share how Synopsys is poised to help companies achieve breakthroughs in scalability and speed in simulation and verification. Greg Kacprzynski, Director of Physical AI, Chief Technology Office at Booz Allen, will discuss effective digital engineering in action — leveraging accelerated computing and physics-based simulation with NVIDIA Omniverse to build more resilient systems.
  • Engineering Intelligent Systems with Synopsys and Booz Allen | October 29 | 3:20 – 3:35pm ET

About Synopsys

Synopsys, Inc. (Nasdaq: SNPS) is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.

© 2025 Synopsys, Inc. All rights reserved. Synopsys, Ansys, the Synopsys and Ansys logos, and other Synopsys trademarks are available at https://www.synopsys.com/company/legal/trademarks-brands.html. Other company or product names may be trademarks of their respective owners.

Contacts

Media        
Kelli Wheeler: kelliw@synopsys.com
Pete Smith: pete.smith@synopsys.com 
corp-pr@synopsys.com 

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SOURCE Synopsys, Inc.

FAQ

What did Synopsys announce at NVIDIA GTC Washington, D.C. on Oct 28, 2025 (SNPS)?

Synopsys announced Agentic AI integrations, expanded GPU-accelerated products, and AI physics collaborations with NVIDIA to speed chip design, simulation, and materials research.

How much faster is Ansys Fluent with Synopsys/NVIDIA GPU and AI acceleration?

Ansys Fluent achieved a 500x speedup overall and runs 50x faster on eight Blackwell GPUs versus 258 CPU cores; AI initialization can cut multi-week runs to ~40 minutes.

What performance gains does Synopsys claim for QuantumATK on NVIDIA GPUs?

Synopsys reports up to a 15x improvement in time to results for DFT and NEGF methods when QuantumATK uses NVIDIA CUDA-X and Blackwell architecture.

Is NVIDIA piloting Synopsys AgentEngineer for formal verification (SNPS)?

Yes, NVIDIA is currently piloting Synopsys AgentEngineer technology for AI-enabled formal verification to validate impact on advanced design flows.

How many GPU-accelerated Synopsys products are in the portfolio?

The company says its GPU-accelerated software portfolio includes nearly 20 products addressing compute-intensive engineering workloads.

Where can investors learn more about Synopsys presentations at GTC (SNPS)?

Synopsys presentations and panels at NVIDIA GTC Washington, D.C. are scheduled Oct 29 and can be viewed at booth #252 or via listed theater and panel sessions.