Spin up your personal cluster in minutes and boost your productivity 10x.
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 GX simulation — it only takes a few seconds!
To get started, copy the code below and paste it into a Python script.
When you run the script, all the necessary simulation artifacts and configuration files will be automatically downloaded to your computer. The GX simulation will then be sent to a cloud machine for execution.
"""Gx example."""
import inductiva
# Allocate cloud machine on Google Cloud Platform
gpu_cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="g2-standard-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/"
"gx-input-example.zip",
unzip=True)
# Initialize the Simulator
gx = inductiva.simulators.GX( \
version="11-2024")
# Run simulation
task = gx.run( \
input_dir=input_dir,
sim_config_filename="itg_w7x_adiabatic_electrons.in",
on=gpu_cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
gpu_cloud_machine.terminate()
task.download_outputs()
task.print_summary()
After the simulation completes, a task summary will be displayed in your terminal. If the task status shows Success, congratulations! You've successfully run a GX simulation.
You're ready to start running simulations seamlessly!
If you encounter any issues or need further assistance, don't hesitate to Contact Us. We're here to help!