Synopsys and NVIDIA Accelerate Engineering Innovation with GPU-Powered Solutions
Event summary
- Synopsys showcased its strategic partnership with NVIDIA at GTC 2026, highlighting advancements in AI and GPU-accelerated engineering solutions.
- Applied Materials achieved up to 30X speedup in quantum chemistry simulations using Synopsys QuantumATK® optimized with NVIDIA cuEST.
- Honda realized 34X faster computation and 38X cost reduction in CFD simulations using NVIDIA GB200 GPUs.
- Astera Labs accelerated chip design for AI connectivity with a 3.5X speedup using Synopsys PrimeSim™ on AWS with NVIDIA Blackwell GPUs.
- Analog Devices, Inc. (ADI) is working with Synopsys and NVIDIA to advance real-world robotic manipulation with high-fidelity sensing simulations.
The big picture
Synopsys and NVIDIA's collaboration is reshaping engineering design and simulation, addressing critical challenges in workflow complexity, development costs, and time-to-market. This partnership leverages AI and accelerated computing to enable faster, more precise product development across industries, from semiconductors to automotive and aerospace. The integration of digital twins and high-fidelity simulations is particularly noteworthy, as it reduces the gap between virtual prototyping and real-world applications.
What we're watching
- AI Integration
- How Synopsys and NVIDIA's agentic AI stack will impact engineering workflows from silicon to systems.
- Market Adoption
- Whether the demonstrated speedups and cost reductions will drive broader industry adoption of GPU-accelerated engineering solutions.
- Competitive Dynamics
- The pace at which competitors will respond to Synopsys and NVIDIA's advancements in AI-powered engineering tools.
Related topics