---
title: Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud
description: This Case Study applies Artificial Neural Networks to solve CFD problems. This decreases time-to-solution while preserving traditional CFD solver accuracy
---

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# [Deep Learning For Steady-State Fluid Flow Prediction In The Advania Data Centers Cloud](https://blog.simr.com/case-studies/deep-learning-for-steady-state-fluid-flow-prediction-in-the-advania-data-centers-cloud)

 Written by [Wolfgang Gentzsch](https://blog.simr.com/case-studies/author/wolfgang-gentzsch) | May 24, 2024 10:56:19 AM

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.

[View full post](https://blog.simr.com/case-studies/deep-learning-for-steady-state-fluid-flow-prediction-in-the-advania-data-centers-cloud)

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