DEMO WEBINAR SERIES

AI Physics: From Simulation Data to Design Insights in Seconds

Date: September 9th | Time: 9am PT/12pm ET/6pm CEST

See how Rescale AI Physics turns your existing simulation results into a surrogate model you can run anywhere — cloud, laptop, or inside your CAD tool.

  • The full pipeline, End-to-End — Prepare data, create an AI dataset, train a surrogate model, and run inference.
  • GeoTransolver — Our newest architecture that handles complex geometry natively. Watch it train and predict on a full vehicle.
  • Local Inference — Run your trained model offline. Rescale’s AI Physics local inference client performs powerful predictions on a laptop with no cloud connection.
  • CAD Integration — Predict simulation results directly inside Blender and Autodesk Alias, where designers already work.

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Turn Existing Runs Into Instant Predictions

Hundreds or thousands of past simulation results are already sitting unused, with untapped insights for AI model development. Learn how to put them to work training design predictions in real time — no AI/ML expertise required.

You'll see the full Rescale AI Physics workflow live on a real automotive aerodynamics model (DrivAerML), from raw simulation data to trained surrogate to real-time inference.

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Who should attend?

  • Simulation engineers who want faster design iteration
  • Engineering leaders evaluating AI/ML for simulation workflows
  • Anyone running parametric studies and wishing they had more compute budget
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Meet Your Session Host

rachel fu
Rachel Fu
Principal Product Manager

LinkedIn

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