Physics-Accurate Design and Simulation at Manufacturing Resolution
Language has LLMs.
Physics has Vinci: The First Foundation Model for Physics.
Language has LLMs.
Physics has Vinci: The First Foundation Model for Physics.
Setup takes hours, compute can take days
Approximations distort results
Physics gets simplified to meet compute limits
Every shortcut widens the gap between design intent and as-built reality
Vinci combines a foundation model for physics with GPU-native solvers to deliver unprecedented simulation speed and accuracy. There’s no meshing, no approximations, and customer data is not required to train the model: it simply works out of the box. Vinci enables engineers to run thousands of simulations seamlessly, transforming how complex physical systems are designed and optimized.
Over half of the top 20 semiconductor companies have already benchmarked Vinci against traditional FEA Solvers and experimental results. In every case, Vinci results were confirmed.
In the example below, Vinci performed material characterization for each tile in a chip package to compute the three directional effective conductivities, and then performed full-package thermal analysis using the computed effective conductivities to obtain the temperature field over the entire domain.
Vinci’s results were 360x faster and functionally identical, without accounting for the setup and meshing hours required by the commercial FEA solver.
Full fidelity at layout scale
Vinci ingested industry-standard layout files (OASIS/GDS/IPC-2581), resolving layout features smaller than 7 nm in BEOL.
Manufacturing scale physics
The study covers a 3D stacked package with ten layers, from nanometer features in BEOL up through the full package.
AI speed with solver-grade accuracy
Vinci ran 9,101 simulations with an average of 218 million elements each in 26 hours total runtime, an average of 10.29 s each.
Verified against commercial tools
Vinci matched the performance of a legacy solver on full-package thermal results.
Accuracy:
Runtime:
Complexity: