feat(storage): add model storage support for multi-node LLM workloads (LWS)

[israel-hdez]

What this PR does / why we need it:

Port the existing storage-related functionality from single-node workloads to support PVC, OCI, Hugging Face, S3 in multi-node setups.

Both leader and worker pods in the LeaderWorkerSet receive model artifact configuration, and also P/D configurations is covered.

The mutation of the main container command to specify the model location had to be removed from the code and hard-coded in the templates. The motivation is because multi-node (LWS based) deployments are using a smarter start-up script which turns the command more complex. This effectively aligns LLMIsvc implementation to how InferenceServices work: the templates consistently use /mnt/models as the location for loading the model.

Which issue(s) this PR fixes (optional, in fixes #<issue number>(, fixes #<issue_number>, ...) format, will close the issue(s) when PR gets merged):

Related to https://issues.redhat.com/browse/RHOAIENG-27817

Type of changes
Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)

Feature/Issue validation/testing:

• Help needed

Checklist:

• Have you added unit/e2e tests that prove your fix is effective or that this feature works?
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• [N/A] Have you made corresponding changes to the documentation?
• Have you linked the JIRA issue(s) to this PR?

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[pierDipi]

/lgtm
/approve

[openshift-ci]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: israel-hdez, pierDipi

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• OWNERS [israel-hdez,pierDipi]

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[openshift-ci]

New changes are detected. LGTM label has been removed.