A sync between stable-2.x and main

[jiridanek]

• A sync between stable-2.x and main #2255

Summary by CodeRabbit

• New Features

  • Multi-arch builds enabled (arm64 + selected ppc64le/s390x) and a new multi-arch push pipeline.
  • Build-args parameter support exposed to pipelines for per-image configuration.

• Improvements

  • Dockerfiles accept configurable base images; many moved from yum to dnf.
  • CI/pipeline triggers refined to watch specific build-args files.
  • Dependency bumps for key Jupyter components.

• Chores

  • Tekton task bundles and image digests refreshed.
  • Removed obsolete CUDA repo and license files.

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Walkthrough

Adds a multi-arch Tekton push pipeline, updates many PipelineRun YAMLs to add build-args-file and multi-arch build-platforms/CEL triggers, parameterizes many Dockerfiles via ARG BASE_IMAGE with new build-args/*.conf files, replaces yum→dnf in base-images, refreshes many task/image digests, and updates Makefile and generation scripts.

Changes

Cohort / File(s)	Summary
Tekton pipelines & bundles .tekton/multiarch-push-pipeline.yaml, .tekton/multiarch-pull-request-pipeline.yaml, .tekton/singlearch-push-pipeline.yaml	Added new multiarch push Pipeline; updated bundle image sha256 digests (task bundle replacements) with no task graph changes.
PipelineRun param / trigger edits (many files) .tekton/*-push.yaml, .tekton/*-pull-request.yaml (multiple under .tekton/...)	Switched many push PipelineRuns to multiarch-push-pipeline, added build-platforms (multi-arch) and build-args-file params; consolidated/updated pipelinesascode.tekton.dev/on-cel-expression pathChanged() entries to include build-args files.
Makefile + pipeline PR generation Makefile, scripts/generate_pull_request_pipelineruns.py	Makefile: detect per-Dockerfile build-args conf and construct --build-arg flags; PR generator: propagate params into PR PipelineRun template (signature change).
Dockerfiles: base parameterization (CPU & others) multiple CPU Dockerfiles (e.g., codeserver/.../Dockerfile.cpu, jupyter/**/Dockerfile.cpu, rstudio/.../Dockerfile.cpu, runtimes/**/Dockerfile.cpu)	Added ARG BASE_IMAGE, introduced cpu-base (or equivalent) stage, and updated downstream stages to use the new base stage.
Dockerfiles: CUDA/ROCm simplification & base param many CUDA/ROCm Dockerfiles (e.g., jupyter/**/Dockerfile.cuda, runtimes/**/Dockerfile.cuda, jupyter/rocm/**/Dockerfile.rocm, runtimes/rocm-*/**/Dockerfile.rocm)	Added ARG BASE_IMAGE; removed in-Dockerfile multi-arch CUDA/ROCm base scaffolding and in-image installs in many files, relying on external BASE_IMAGE; some ROCm/CUDA-specific files adjusted or retained minimal tooling.
Add build-args config files **/build-args/*.conf (new files across codeserver, jupyter, runtimes, rstudio, etc.)	New per-image build-args files (e.g., BASE_IMAGE=...) added to provide BASE_IMAGE values for CPU/CUDA/ROCm variants.
Base-images: yum → dnf base-images/cuda/12.6/*/Dockerfile.cuda, base-images/rocm/6.2/*/Dockerfile.rocm	Replaced yum commands with dnf equivalents in multiple base-image Dockerfiles; minor WORKDIR addition.
Image digests & manifests manifests/base/params-latest.env	Updated multiple py312 image sha256 digests.
Removed CUDA license & repo files cuda/NGC-DL-CONTAINER-LICENSE, cuda/cuda.repo-amd64, cuda/cuda.repo-arm64	Deleted CUDA license and cuda.repo files.
Tests & CI tests/manifests.py, ci/cached-builds/gen_gha_matrix_jobs.py	tests: adjusted RStudio path selection for non-py312 to CUDA buildconfig; CI: added datascience runtime targets to S390X compatibility list.
Python deps / examples jupyter/rocm/tensorflow/.../pylock.toml, pyproject.toml, examples/jupyterlab-with-elyra/Dockerfile	Dependency/version bumps (Jupyter/Elyra/skl2onnx) and pylock/pyproject updates.
Utility scripts jupyter/utils/install_pdf_deps.sh	Skip PDF deps installer on s390x and ppc64le; message reports actual arch.

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~60–90 minutes

Possibly related issues

• Optimize CUDA Dockerfiles by removing redundant upgrade commands #1913 — Modifies CUDA Dockerfiles and package handling (yum→dnf / CUDA base changes); this PR similarly refactors CUDA base stages and package management.

Possibly related PRs

• Refactor Dockerfiles to Use Config Files via ARG #2271 — Strong overlap: BASE_IMAGE ARG refactors, build-args-file plumbing, and Makefile/pipeline propagation changes.
• Issue #2157: chore(Dockerfiles): replace yum with dnf consistently across UBI9 Dockerfiles #2185 — Related changes converting yum→dnf across CUDA/ROCm Dockerfiles.
• RHOAIENG-31406: enable Runtime Datascience Images for IBM Z[s390x] (Python 3.12) #1513 — Related to s390x enablement for runtime-datascience (Dockerfile, pylock markers, CI S390X list, pipeline build-platforms).

Suggested reviewers

• dibryant
• daniellutz

✨ Finishing touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch main

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