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NVIDIA PhysicsNeMo Datacenter CFD Dataset

NVIDIA PhysicsNeMo Datacenter CFD Dataset

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Description
Dataset and reference OpenFOAM setup for Datacenter CFD surrogate model training using PhysicsNeMo.
Publisher
NVIDIA
Latest Version
v1
Modified
March 31, 2025
Compressed Size
173.82 GB

Overview

This asset provides the dataset and reference OpenFOAM configuration to be used for the Datacenter CFD use case here.

The dataset contains normalized OpenFOAM simulations for various configurations of a typical hot aisle in a datacenter. The dataset includes variation for the number of IT racks and hot-aisle geometry parameters like length, height and width of the hot aisle. These configurations are solved with OpenFOAM assuming maximum flow rate and rack exit temperature (max load condition). Steady state simulations are used and the resulting OpenFOAM data is exported in VTK. Refer to the GitHub above for more details on the dataset and the normalization parameters.

A reference OpenFOAM simulation is also provided to enable users to replicate the workflow by changing the geometry and boundary conditions.

Note: The OpenFOAM configuration provided is only representative. Several key aspects have been masked to protect the IP. Users should not expect to generate the training data exactly using this setup, and one will have to change it using their own geometries and boundary conditions.

Contributors

This dataset and reference OpenFOAM configuration was developed as a part of collaboration between NVIDIA and Wistron.

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