Add konflux Dockerfiles for LLMCompressor image

[atheo89]

Add konflux Dockerfiles for llmCompressor image this will be introduced on rhoai2.25

related to: https://issues.redhat.com/browse/RHAIENG-332

[openshift-ci]

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[github-actions]

📋 Review Summary

This PR introduces two new Dockerfiles for the llmCompressor image with Konflux support. The Dockerfiles are well-structured and follow a multi-stage build pattern, which is great for keeping the final images small.

🔍 General Feedback

• Redundancy: The two new Dockerfiles, jupyter/pytorch+llmcompressor/ubi9-python-3.12/Dockerfile.konflux.cuda and runtimes/pytorch+llmcompressor/ubi9-python-3.12/Dockerfile.konflux.cuda, are very similar. To improve maintainability and reduce code duplication, consider creating a common base image that both Dockerfiles can build upon. This would centralize the common setup steps and make future updates easier.
• Hardcoded Versions: Several package versions are hardcoded in the Dockerfiles. Using build arguments (ARG) for these versions would make the images more flexible and easier to maintain.
• Security: It's recommended to verify the checksums of downloaded artifacts to ensure their integrity.

Overall, the changes look good, but addressing the feedback above would improve the quality and maintainability of the Dockerfiles.

[atheo89]

Hey @riprasad this PR introduce the llmcompressor image for the upcoming release could you please take a look once you have the chance? There is also on the DevOps side this jira: https://issues.redhat.com/browse/RHOAIENG-32230 that tracks the tekton pipelines for the builds, I linked it here for your reference. Please let us know if anything else is needed.

[jiridanek]

/lgtm

[openshift-ci]

@atheo89: The following test failed, say /retest to rerun all failed tests or /retest-required to rerun all mandatory failed tests:

Test name	Commit	Details	Required	Rerun command
ci/prow/images	8e6c5b8	link	true	/test images

Full PR test history. Your PR dashboard.

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[atheo89]

Incorporation to Operator: opendatahub-io/opendatahub-operator#2372