FROM SILICON TO SIMULATION: ENABLING THE END-TO-END SOFTWARE-DEFINED VEHICLE WORKFLOW
Wednesday 20 May 2026 17:05
The transition to the Software-Defined Vehicle (SDV) is fundamentally reshaping how vehicles are designed, developed, and validated. As software complexity grows alongside centralized compute architectures and AI-driven functions, traditional hardware-centric development approaches – reliant on late-stage integration and physical prototypes – are increasingly unable to keep pace.
In this joint presentation, VI-grade and Synopsys present a shared vision for an end-to-end SDV development and validation workflow built around a continuous virtual environment. By combining Synopsys’ pre-silicon virtual prototyping and software development capabilities with VI-grade’s high-fidelity vehicle simulation and driver-in-the-loop testing, the partnership enables a continuous digital validation pipeline spanning silicon, software, system integration, and vehicle-level performance.
This integrated virtual approach allows automakers to develop, integrate, and validate complex vehicle systems earlier in the lifecycle, significantly accelerating validation cycles, reducing dependence on physical prototypes, and supporting a shift toward continuous verification of SDV architectures – ultimately saving months of development time while improving system quality and robustness.
In this joint presentation, VI-grade and Synopsys present a shared vision for an end-to-end SDV development and validation workflow built around a continuous virtual environment. By combining Synopsys’ pre-silicon virtual prototyping and software development capabilities with VI-grade’s high-fidelity vehicle simulation and driver-in-the-loop testing, the partnership enables a continuous digital validation pipeline spanning silicon, software, system integration, and vehicle-level performance.
This integrated virtual approach allows automakers to develop, integrate, and validate complex vehicle systems earlier in the lifecycle, significantly accelerating validation cycles, reducing dependence on physical prototypes, and supporting a shift toward continuous verification of SDV architectures – ultimately saving months of development time while improving system quality and robustness.
