Synopsys Showcases NVIDIA Partnership Impact and Ecosystem Innovation at GTC 2026

Core Insights - Synopsys and NVIDIA are showcasing their strategic partnership at GTC 2026, focusing on revolutionizing design and engineering across various industries through AI and accelerated computing solutions [1][2] - The collaboration aims to address significant engineering challenges such as workflow complexity, development costs, and time-to-market pressures by integrating NVIDIA's AI capabilities with Synopsys' engineering solutions [1][2] Group 1: Partnership Impact - The partnership is enabling R&D teams to design, simulate, and verify intelligent products more efficiently, resulting in lower costs and increased precision [1] - Synopsys is demonstrating how AI and accelerated computing are fundamentally changing engineering practices, particularly in product design and operation [2] Group 2: Engineering Workload Acceleration - Synopsys has the broadest portfolio of engineering applications that leverage AI and GPU-accelerated computing, enhancing the speed and intuitiveness of engineering processes [3] - Astera Labs achieved a 3.5X speedup in chip design simulations using Synopsys PrimeSim on NVIDIA B200 GPUs, significantly reducing design validation cycles [4][5] - Honda reported a 34X faster computation and 38% cost reduction in CFD simulations by utilizing four GB200 GPUs compared to 1,920 cloud-based CPU cores [7] Group 3: Advancements in Physical AI - Synopsys is playing a crucial role in physical AI development by grounding virtual processes with real-world physics, thereby improving simulation accuracy and reducing the need for physical testing [8] - ADI is using Synopsys' physics in its Isaac Sim environment to create high-fidelity simulation assets for robotic applications, enhancing predictive accuracy [8] Group 4: Quantum Chemistry and Materials Engineering - Applied Materials is collaborating with Synopsys and NVIDIA to accelerate quantum chemistry simulations, achieving a potential 30X speedup for complex workloads compared to traditional CPU models [7] - This collaboration aims to improve energy-efficient performance in advanced semiconductor devices, facilitating faster market entry for chip design innovations [7] Group 5: Agentic AI Development - Synopsys is developing an open, secure, hardware-accelerated agentic AI stack in partnership with NVIDIA, targeting applications from silicon to systems [9][10] - The AgentEngineer technology is designed to enhance electronic design automation workflows, improving productivity and managing design complexity in the AI era [10]