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Keynote2026-07-20
The speaker states how much faster an AI surrogate model predicts results for geometries it has not previously seen compared with running the simulation.
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Neil Ashton · NVIDIA · NVIDIA Keynote Live at SIGGRAPH 2026
“It is more than 10,000 times faster to do the prediction of an unseen geometry that the model has not seen or a boundary condition, and achieve accuracy within one or two percent. It almost seems like magic, but it but it is true.”
Key terms
- boundary condition
- — The specified conditions at the edges of a simulated domain, such as inlet speed or temperature, that define a particular case.
- unseen geometry
- — A shape or design the model was not trained on, used to test whether it generalises.
Educational summary of a public statement. Not investment advice.