NVIDIA has invested $2 billion in Synopsys, acquiring common stock at $414.79 per share, roughly 2.6% of the company, as part of a multi-year expansion of their collaboration to fuse AI, accelerated computing, and simulation tools, tells Monica Schnitger in this Schnitger Corporation blog post.
Their joint goal: shift simulation workloads from CPU-based systems to GPU-powered workflows leveraging NVIDIA’s CUDA-X libraries and AI-physics tools. This enables huge gains in speed and scale for tasks ranging from chip design and physical verification to molecular modeling and system-level simulations.
Under the deal, Synopsys will embed NVIDIA’s technology not only into semiconductor EDA software but also across fields such as aerospace, automotive, industrial design, and beyond. That spans simulation, verification, digital-twin generation, and full system-level modeling, all with GPU acceleration.
With GPUs doing the heavy lifting, engineers could compress design-to-prototype cycles. Simulations that once took days or weeks might run in hours, opening possibilities for more iterations, tighter integration of electronics and physics, and more ambitious design workflows.
For industries chasing AI-driven innovation, this means access to “digital twins” at scale—high-fidelity, physics-aware virtual models of chips, mechanical systems, or complex devices. The deal signals a strategic push by NVIDIA to embed its hardware deeply into the tools engineers use, and by Synopsys to evolve from traditional EDA toward cloud-ready, GPU-accelerated, AI-augmented engineering platforms.