Nvidia Takes $2B Stake in Synopsys, Expands GPU Computing Partnership

Nvidia has agreed to acquire a $2 billion minority stake in Synopsys and to broaden a strategic computing partnership aimed at accelerating AI-driven semiconductor design. The deal pairs Nvidia’s high-performance GPUs and systems with Synopsys’s electronic design automation (EDA) software to speed model-driven chip development and validation.

Under the expanded agreement, Nvidia will provide additional accelerated computing hardware and software optimizations to integrate with Synopsys’s toolchain. That includes support for GPU-accelerated workflows, optimized libraries and software collaboration intended to help chip designers run larger models, shorten simulation times and bring designs to market more quickly. Synopsys’s EDA platforms are widely used across the semiconductor industry for tasks such as verification, synthesis and physical design; tighter integration with Nvidia’s computing stack targets AI-infused design flows.

Both firms framed the move as a response to growing demand for compute-intensive design methods driven by AI, advanced nodes and increasing chip complexity. By combining Synopsys’s domain expertise in design automation with Nvidia’s accelerator architecture and software ecosystem, the partnership aims to enable more efficient model training, faster verification runs and cloud-ready design environments.

For Nvidia, the investment deepens ties with a key software partner in the semiconductor supply chain and extends its reach into the EDA market, where accelerated compute can unlock performance gains. For Synopsys, the capital infusion and technical collaboration offer access to additional GPU capacity and engineering resources to evolve its products for AI-first workflows.

Analysts say the deal underscores how hardware and software vendors are aligning more closely as chip design becomes increasingly data- and compute-driven. Market watchers will monitor how Synopsys integrates Nvidia acceleration across its product portfolio and whether the partnership spurs broader adoption of GPU-accelerated EDA in hyperscale and foundry ecosystems.

Companies emphasized this is a cooperative, long-term arrangement focused on product integration, cloud enablement and joint engineering. Details such as the exact equity percentage and timelines for product rollouts were not disclosed in initial statements.