Join our global community on Discord and let's shape the next wave of simulation and scientific computing Let's shape the future of simulation together

Join us on Discord

Test Your Inductiva Setup

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 AMR-Wind 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).

example.py

"""AMR-Wind example."""
import inductiva

# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
    provider="GCP",
    machine_type="c2d-highcpu-4",
    spot=True)

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

# Initialize the Simulator
amr_wind = inductiva.simulators.AmrWind( \
    version="3.4.1")

# Run simulation
task = amr_wind.run(input_dir=input_dir,
    sim_config_filename="abl_amd_wenoz.inp",
    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 AMR-Wind 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, as shown below.

Task status: Success

Timeline:
    Waiting for Input         at 13/06, 13:26:05      0.776 s
    In Queue                  at 13/06, 13:26:06      39.502 s
    Preparing to Compute      at 13/06, 13:26:46      2.361 s
    In Progress               at 13/06, 13:26:48      4.213 s
        └> 4.074 s         /opt/openmpi/4.1.6/bin/mpirun --use-hwthread-cpus amr_wind abl_amd_wenoz.inp
    Finalizing                at 13/06, 13:26:52      0.663 s
    Success                   at 13/06, 13:26:53

Data:
    Size of zipped output:    13.54 MB
    Size of unzipped output:  52.27 MB
    Number of output files:   91

Total estimated cost (US$): 0.010065 US$
    Estimated computation cost (US$): 0.000065 US$
    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 shows Success, congratulations! You've successfully run an AMR-Wind simulation.

This simple example tested your installation on a small machine with just 4 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

Inductiva's supported AMR-Wind versions and container images for running simulations.

Run Your First Simulation

This tutorial will show you how to run AMR-Wind simulations using the Inductiva API. We will cover the `abl_amd_wenoz` use case from the test files folder of the AMR-Wind GitHub repository to help you get started with simulations.