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Test Your Inductiva Setup

Test your Inductiva.AI setup by running a quick FDS simulation in the cloud before scaling to larger fire & smoke studies.

Before diving into tutorials and benchmarks, let's ensure that your Inductiva Python package is properly set up. To confirm everything is working as expected, simply run a quick FDS simulation — it only takes a few seconds!

Step 1: Copy and Run the Code

Copy the code below and save it as example.py on your Desktop (or in your preferred directory).

"""FDS example."""
import inductiva

# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
    provider="GCP",
    machine_type="c2d-highcpu-2",
    spot=True)

# Download the input files into a folder
input_dir = inductiva.utils.download_from_url(
    "https://storage.googleapis.com/inductiva-api-demo-files/"
    "fds-input-example.zip",
    unzip=True)

# Initialize the Simulator
fds = inductiva.simulators.FDS( \
    version="6.10.1")

# Run simulation
task = fds.run( \
    input_dir=input_dir,
    sim_config_filename="mccaffrey.fds",
    on=cloud_machine)

# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()

task.download_outputs()

task.print_summary()

Open your command line, then navigate to the Desktop by running:

cd ~/Desktop

Execute the Python script by running:

python example.py

Note: On some systems, you might need to use python3 instead of python.

All the necessary simulation artifacts and configuration files will be automatically downloaded to your computer. The FDS simulation will then be sent to a cloud machine for execution.

Step 2: Verify the Task Status

After the simulation completes, a task summary will be displayed in your terminal.

Task status: Success

Timeline:
    Waiting for Input         at 21/07, 11:15:03      0.746 s
    In Queue                  at 21/07, 11:15:03      40.253 s
    Preparing to Compute      at 21/07, 11:15:44      5.44 s
    In Progress               at 21/07, 11:15:49      36.253 s
        └> 36.105 s        /opt/fds/Build/ompi_gnu_linux/fds_ompi_gnu_linux mccaffrey.fds
    Finalizing                at 21/07, 11:16:25      0.528 s
    Success                   at 21/07, 11:16:26

Data:
    Size of zipped output:    6.34 MB
    Size of unzipped output:  10.59 MB
    Number of output files:   20

Total estimated cost (US$): 0.01017 US$
    Estimated computation cost (US$): 0.00017 US$
    Task orchestration fee (US$): 0.010 US$

Note: A per-run orchestration fee (0.010 US$) applies to tasks run from 01 Dec 2025, in addition to the computation costs.
Learn more about costs at: https://inductiva.ai/guides/basics/how-much-does-it-cost

If the Task status is marked as Success, congratulations! You've successfully ran an FDS simulation.

This simple example tested your installation on a small machine with just 2 virtual CPUs. Inductiva offers far more powerful options to supercharge your simulations.

Need Help?

If you encounter any issues or need further assistance, don't hesitate to Contact Us. We're here to help!

Versions and Containers

Explore supported FDS versions and container images on the Inductiva.AI Cloud HPC platform.

Run Your First Simulation

Step-by-step guide to run your first FDS simulation on Inductiva.AI. Easily launch, monitor and analyse results.