Installation¶
M-Star CFD is a multi–GPU-based solver which contains pre-processing, solver, and post-processing environments. It is cross-platform and easy to integrate into other workflows. Explore this section to get familiar with the available capabilities.
Administration and Requirements
System Requirements : Which operating systems and GPUs are needed to run M-Star CFD.
Hardware Guide : How to select GPUs and hardware
Platform Diagnostics : What’s going on under the hood.
3D device troubleshooting : Fix common issues with 3D rendering programs Pre and Post
Software Installation
Windows : How to install on Windows. This is the most common setup.
Linux (Single Node) : Instructions for Linux single-node installations.
Linux (Multi Node) : Installation in a multi-node GPU environment.
AWS : Instructions to run M-Star on Amazon Web Services.
Azure : Instructions for a single Azure setup with multiple GPUs.
Google Cloud : Create an Instance on Google Cloud.
Containers : Run M-Star using Docker or Singularity.
Optional Packages
Python : Optionally used for scripting M-Star Pre/Solve/Post activities, workflows, and integrations.
Windows Python Pre Setup Guide : Recommended Python setup on Windows with VS Code IDE
FFmpeg on Linux : Needed on Linux to save moves. If this package isn’t already on your machine, you can get it here.
Remote visualization: Access a remote desktop using NICE DCV.