If your laptop is your bottleneck, Inductiva is your breakthrough. Instant, on-demand scale with a pay-as-you-go approach.
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!