Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

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Is there additional documentation for the <https://docs.flyte.org/projects/flytekit/en/latest/plugins/ray.html|flytekit ray plugin>? The ray_start_params and runtime_env both take in dicts, but there are no documentations specifying what is in those dicts. Also what is the address arg in RayJobConfig

sorry, we’ll update the docs. `ray_start_params` is same as the params in the <https://docs.ray.io/en/latest/cluster/cli.html#ray-start-doc|ray start>, and the address `RayJobConfig` is used when you want to submit the rayJob to your own ray cluster. If the value is None, Flyte will create a Ray cluster in the k8s.

It’s same as the <https://docs.ray.io/en/latest/ray-core/handling-dependencies.html#runtime-environments|runtime env> in Ray