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, marking a strategic partnership to advance computing and artificial intelligence engineering solutions. The deal, , underscores a collaborative effort to revolutionize compute-intensive industries such as design and engineering. [According to Huang](https://example.com/source1), the partnership aims to "revolutionize one of the most compute-intensive industries in the world." The collaboration will focus on accelerating Synopsys' portfolio of applications, expanding cloud access, and developing joint initiatives to bring AI-powered solutions to market.
The partnership between
and will leverage Nvidia's AI and accelerated computing capabilities with Synopsys' engineering solutions. This integration is expected to enable R&D teams to design, simulate, and verify intelligent products with greater precision and speed. [Huang highlighted](https://example.com/source3) that the partnership will open "new market opportunities for both companies," extending the market from the semiconductor industry to a multi-trillion-dollar "every product" industry. Synopsys CEO noted that the collaboration will reduce weeks-long workloads to hours, facilitating a shift from general-purpose computing to accelerated computing.
The $2 billion investment was executed at $414.79 per share, reflecting a strategic commitment to long-term growth. , . This move aligns with Nvidia's broader investment strategy, , . The partnership is non-exclusive, allowing both companies to continue engaging with other industry players.
The partnership will focus on four key initiatives: accelerating Synopsys' compute-intensive applications using Nvidia's CUDA-X libraries, advancing agentic AI engineering, connecting physical and digital worlds through digital twins, and enabling cloud-ready solutions for engineering teams [according to the plan](https://example.com/source3). These efforts aim to democratize access to GPU-accelerated tools, supporting industries such as semiconductors, robotics, and healthcare. Synopsys' Ansys acquisition further expands its customer base, providing Nvidia with a broader route to market.
Nvidia and Synopsys have a long-standing relationship, with Huang noting that Nvidia was "built on a foundation of design tools from Synopsys." The partnership builds on this legacy while addressing future challenges in AI and engineering workflows. Ghazi emphasized the importance of AI in redefining simulation and design processes, stating that the partnership will "accelerate the availability of accelerated computing to the wider product development community" [according to Ghazi](https://example.com/source3). Both companies remain committed to innovation, with no immediate plans to allocate the investment toward additional GPU purchases.
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