Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud

Case Study

Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud

This Simr Case Study applies Artificial Neural Networks to solve CFD problems. This significantly decreases time-to-solution while preserving traditional CFD solver accuracy. Creating a large number of simulation samples is essential for the neural network learn dependencies between design and flow field.

Germany-based Renumics used UberCloud’s OpenFOAM container on Advania Data Centers HPCFLOW Cloud, supported by Simr AI Consultant Joseph Pareti.

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