"The multi-year partnership covers everything from Nvidia CUDA accelerated computing - Compute Unified Device Architecture, a platform for using GPUs for a wider range of tasks - as well as agentic and physical robots and Nvidia's multiverse digital twin system known as Omniverse. The aim is to increase the use of GPU-accelerated engineering solutions, with the two companies teaming up on engineering and marketing."
""This is a huge deal," Nvidia CEO Jensen Huang told . "The partnership we're announcing today is about revolutionizing one of the most compute-intensive industries in the world: design and engineering." At the press conference announcing the deal, Huang said that using Nvidia's frameworks to shift CPU work to GPUs had accelerated development work. "Something that would take weeks could now happen in hours," he reportedly said."
"That was echoed by Synopsys CEO Sassine Ghazi, who said his company has seen a "significant speedup" after shifting to Nvidia GPUs using CUDA several years ago, saying this new partnership will reduce workloads from taking weeks to mere hours. Accelerating the shift Huang said the deal highlighted the shift from CPUs to GPUs, the style of chip Nvidia dominates."
Nvidia purchased $2 billion of Synopsys stock and entered a multi-year partnership to deepen collaboration across GPU-accelerated computing, agentic and physical robotics, and the Omniverse digital twin system. The partnership aims to increase adoption of GPU-accelerated engineering solutions and combines engineering and marketing efforts. Nvidia frameworks and CUDA shifts have reportedly accelerated development tasks from weeks to hours. Synopsys has experienced significant speedups after adopting Nvidia GPUs and CUDA. The collaboration will leverage CUDA-X libraries and AI physics technologies to boost chip design, molecular simulations, and other compute-intensive engineering workflows while advancing a platform shift from CPUs to GPUs.
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