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Agile roadmap for OVHcloud Public Cloud services. Discover the features our product teams are working on, comment and influence our backlog.
https://www.ovhcloud.com/en/public-cloud/
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Ray.io on demand service #275

Closed cyrta closed 1 year ago

cyrta commented 2 years ago

Ray.io on demand service

It is possible to use kubernetes + terraform https://docs.ray.io/en/latest/cluster/cloud.html#cluster-cloud

However, I believe it would be valueble to make deployment easier, by just one call or button click

Rferences:

See this blog post for a step by step guide to using the Ray Cluster Launcher.

To learn about deploying Ray on an existing Kubernetes cluster, refer to the guide here.

It is very easy to prepare massive, large dataset for AI model training https://speakerdeck.com/anyscale/ray-datasets-scalable-data-preprocessing-for-distributed-ml

cyrta commented 1 year ago

Some things have changed with Ray 2.0 https://docs.ray.io/en/latest/cluster/kubernetes/index.html

They introduce KubeRay Operator is the recommended way to do so.

mhurtrel commented 1 year ago

Thanks for the input @cyrta

As we have no other demand for this, and multiple solutions for ML at OVHcloud, we do not plan to work on this. However, you are more than welcome to offer our Kubernetes user a documentation to deploy Ray on our managed services.

We have multiple partners that have done so like CloudCasa or https://docs.ovh.com/gb/en/kubernetes/backing-up-cluster-with-velero/ .