Hi everyone. 👋 In Prefect1 we were able to pass a KubernetesRun while creating a flow with Python client. For example we can provide a custom template via KubernetesRun to specify resources add tolerations if we want to schedule the flow on a gpu node etc. How can we achieve same in Prefect2? Thanks.

https://docs.prefect.io/api-ref/prefect/infrastructure/#prefect.infrastructure.KubernetesJob Unsure if this is the solution you are looking for ; but the customization parameters might be the answer.

You can define it using a job template, and building --from-yaml

So you suggest creating a new infra. block from a yaml each time configuration is changed. It is frequently the case for us, because users specifying some configurations from the UI and run flows.

You can create a baseline and pass in customizations

but they want to run same flow with different resources, in this sense it doesn’t make sense to me to create multiple deployments for same flow logic due to config changes