For AI vLLM example, add more cloud provider specific information

[seans3]

• For AI vLLM inference example, add more cloud provider specific information.
  • Add Platform-Specific Configuration section with relevant information to README.md
  • Add nodeSelector examples for three cloud providers to vllm-deployment.yaml

[seans3]

/assign @janetkuo

[janetkuo]

Open question: Is it recommended to use default or latest?

[seans3]

Good catch. I am changing to default. While the following documentation recommends latest, I believe default makes more sense in this case because it should be more stable.

Both latest and default can be correct, but they specify different driver installation behaviors. For most cases, latest is the recommended choice.

Understanding the Difference
When you create a GPU node pool in GKE, you can choose how the NVIDIA drivers are managed. The nodeSelector label in your workload must match the configuration on the node.

🚀 latest: This label targets nodes where GKE automatically installs and updates to the latest stable driver version available for your GKE version. This is the best option for most users as it ensures you have the most recent performance improvements and security patches without manual intervention.

🛡️ default: This label targets nodes that use the default driver version for your GKE version. This version is more static and will not change automatically, providing a more stable target if your application has a strict dependency on a specific driver version. You would use this to prevent unexpected driver updates from affecting your workload.

[janetkuo]

This isn't rendered well (the newline isn't rendered)

[seans3]

I think this is fixed. Please let me know what you think.

[janetkuo]

There are platforms that aren't public clouds, such as on-prem vendors. Suggest making the title more inclusive, such as "Platform-Specific Configuration" or "GPU Node Selection on Different Platforms"

Suggested change

	## Cloud Provider Differences
	## Platform-Specific Configuration

[seans3]

I have updated this (as well as the link). Please let me know what you think.

[janetkuo]

This is a valuable addition for making this example useful on other clouds. My one question is about long-term maintenance. Since our team's expertise is primarily with GKE, how can we ensure the configurations for other platforms stay up-to-date? Perhaps we could add a note welcoming community contributions to maintain them?

[seans3]

This is a good question that I don't have an answer to at the moment. In a separate PR, I could add a CONTRIBUTING.md, which lays out our expectations for maintenance from each cloud provider (and/or bare metal). Let's discuss this in person.

[janetkuo]

/lgtm

[k8s-ci-robot]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: janetkuo, seans3

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

• OWNERS [janetkuo]

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment