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NVIDIA and Synopsys have announced a multi-year collaboration aimed at transforming chip design and engineering processes through artificial intelligence and accelerated computing technologies.
The partnership leverages NVIDIA’s GPU-accelerated computing platform, including its CUDA software, to enable large-scale simulations that span from atomic levels to entire systems. This approach allows for the creation of detailed digital twins within computing environments, speeding up innovation in semiconductor development.
Synopsys, a leading provider of electronic design automation tools, will integrate NVIDIA’s AI capabilities to improve its solutions for silicon design, verification, and analysis. The collaboration seeks to help engineers test more concepts, run simulations more quickly, and develop advanced products across industries.
Officials from both companies highlighted the potential for this alliance to drive efficiency in research and development, particularly in AI-powered devices. They noted that the integration could address growing demands in sectors like automotive, data centers, and consumer electronics.
Based in Santa Clara, California, NVIDIA pioneered the GPU and remains a key player in AI infrastructure. Synopsys, headquartered in Sunnyvale, California, supports a broad range of customers in accelerating product innovation from silicon to complete systems. Details on specific implementations and timelines will emerge as the partnership progresses.
Both firms issued standard cautions about forward-looking projections, emphasizing uncertainties such as economic conditions, technological competition, and regulatory changes that could affect outcomes. Investors can review detailed risk factors in their respective SEC filings.
