I am new to ODH.
It seems that all the components in ODH will be deployed with kubeflow
operator and kustomize manifests.
Could you tell me how to deploy such components in detail on OCP in ODH?
Another question is about spark on kubernetes. I have noticed that in ODH,
If you want to deploy spark thrift server as hiver server2 , spark cluster
needs to be deployed on OCP in ODH beforehand.
I think, there is a way to submit spark thrift server on kubernetes/OCP
without having spark cluster deployed on OCP.
Is there any reason to do so?
- Kidong Lee.
I'm trying to build gpu enabled notebook images on Openshift. I don't have access to pypi directly. I am using artifactory with remote pypi repo configured.
When I add -cuda overlay and include config and populate PIP_INDEX_URL environment variable, build chain is running until cuda images.
Those builds like s2i-minimal-notebook-gpu uses micropipenv. Pip can be upgraded to latest and micropipenv can be installed from local artifactory.
But unfortunately micropipenv tries to get packages from pypi repositories.
I've tried using ENABLE_PIPENV and removed ENABLE_MICROPIPENV environments from buildConfig but we've some other issues with this config.
All ideas are welcome,
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I am happy to meet Open Data Hub, because I have also open sourced such
platform, called DataRoaster(https://github.com/cloudcheflabs/dataroaster)
DataRoaster is a tool to provide data platforms running on kubernetes with
ease and quickly. I think, the component of services provided by
DataRoaster seems to be similar with ODH's.
Since this October 1., I am working at Red Hat Korea, and I have been
looking for the communities about data platform running on kubernetes.
I hope that I will have a good chance to learn from ODH and ask questions.
- Kidong Lee.