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CMF – Compressible Multiphase Flow Simulations on GPUs

by Empirisch Tech GmbH

Run MFC multiphase flow simulations on NVIDIA A100/H100 GPUs in your own Azure subscription.

CMF turns MFC, the open-source, GPU-accelerated solver for compressible multiphase and multicomponent flows, into a ready-to-use web application on a GPU virtual machine in your own Azure subscription. Your engineers set up, run and evaluate simulations in the browser, without building a cluster, installing compilers or moving data out of your tenant.

Who it is for

Engineers and researchers who simulate shock waves, bubbles, droplets, cavitation, high-speed jets, underwater explosions or interfacial instabilities, in aerospace, defense, energy, marine, process and biomedical engineering, and in universities. IT teams get one self-contained deployment that they control.

Simulate

  • Start from 129 ready-to-run MFC examples in 19 categories, or upload your own case.py with its input files.
  • Every case is checked before it runs: Python syntax, a static malware scan and MFC's own parameter validation.
  • Choose 1, 2, 4 or 8 GPUs per job (one MPI rank per GPU). Follow the log while the job runs, cancel it, and download all results as a zip file.
  • View results in the browser: animated plots of every saved time step for 1D, 2D and 3D cases (3D as three mid-plane slices).
  • Optional AI Copilot

    Connect your own model (OpenAI-compatible APIs including Azure OpenAI, Google Gemini or Anthropic) to get answers about MFC, generate and review cases, and analyze failed runs. Generated cases are checked with MFC's validator before you run them. Without a key these features are off, and simulations never depend on them.

    Administer

    • Deploys from the Azure portal as a managed application: one VM with a data disk, a virtual network and an HTTPS endpoint.
    • User accounts with administrator and user roles, and limits for GPUs per job and run time.
    • Keep results on your own Azure Files share (results can reach hundreds of GB) or on the VM's data disk.
    • Reachable only from the IP range you choose, over HTTPS; keys are stored encrypted on the VM. The application sends no data to the publisher.
    • Optional NVIDIA software, installed on demand from NVIDIA after an administrator accepts NVIDIA's license: the HPC SDK for cases that MFC must compile (for example with chemistry), and Fabric Manager on the 8-GPU sizes.
    • Supported VM sizes

      • NC A100 v4: 1, 2 or 4 NVIDIA A100 80 GB GPUs
      • ND A100 v4 series: 8 NVIDIA A100 GPUs (40 GB or 80 GB) with NVSwitch
      • NC H100 v5: 1 or 2 NVIDIA H100 NVL GPUs
      • ND H100 v5: 8 NVIDIA H100 GPUs with NVSwitch
      • Pricing and requirements

        An hourly software fee per VM hour, shown before you deploy, plus the Azure resources you use (VM, disks, public IP address, optional storage). Stop (deallocate) the VM when it is idle: software and compute charges pause, disks remain billed. You need quota for the chosen GPU size in your region. One simulation runs at a time and uses the GPUs you select.

        MFC is open-source software under the MIT license (github.com/MFlowCode/MFC). NVIDIA, A100 and H100 are trademarks of NVIDIA Corporation.


        At a glance

        https://catalogartifact.azureedge.net/publicartifacts/numericalai.cmf-c02f2da3-6fed-4b2f-b6a4-f74d23bcdc60/trailer_4034137671059864662_trailer.png
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