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[Feature] A doc about the best practice for mapping Ray resources to K8s pod resources #2804

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kevin85421 opened this issue Jan 22, 2025 · 0 comments
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enhancement New feature or request triage

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@kevin85421
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kevin85421 commented Jan 22, 2025

Search before asking

  • I had searched in the issues and found no similar feature requirement.

Description

It's common for users to ask about the best resource configurations for the Ray head Pod and Ray worker Pods.

Example questions:

  • How much resources are required for the head Pod?
  • Should I set resource limits?
  • If I want to deploy 4 Ray Actors, each with num_cpus=2, what is the best configuration for the Ray Pod? For example, should the resource request be 8 CPUs and the resource limit be 12 CPUs?

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Are you willing to submit a PR?

  • Yes I am willing to submit a PR!
@kevin85421 kevin85421 added enhancement New feature or request triage labels Jan 22, 2025
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