You should check out this [0] GitHub action workflow. It uses docker machine to create a high resourced runner on demand in the cloud and then runs the subseque

You should check out this [0] GitHub action workflow. It uses docker machine to create a high resourced runner on demand in the cloud and then runs the subsequent job on it. The workflow is intended for machine learning but I'm sure it could be adapted. I must disclose that I haven't actually used it myself yet (because I haven't felt the need) but it does look very promising. 0: https://github.com/iterative/cml_cloud_case/blob/master/.github/workflows/cml.yaml https://github.com/iterative/cml_cloud_case/blob/master/.git...