Build and test with CUDA 13.3.0

[bdice]

Contributes to rapidsai/build-planning#286

• uses CUDA 13.3.0 to build and test
• updates to CUDA 13.3.0 devcontainers

Notes for Reviewers

This switches GitHub Actions workflows to the cuda-13.3.0 branch from here: rapidsai/shared-workflows#574

A future round of PRs will revert that back to main, once all of RAPIDS is migrated.

[copy-pr-bot]

Auto-sync is disabled for draft pull requests in this repository. Workflows must be run manually.

Contributors can view more details about this message here.

[coderabbitai]

📝 Walkthrough

Walkthrough

This pull request upgrades the repository's CUDA support from version 13.2 to 13.3 across devcontainers, CI workflows, dependency matrices, and documentation. All shared workflow references are pinned to a CUDA-specific release tag (@cuda-13.3.0).

Changes

CUDA 13.3 Upgrade

Layer / File(s)	Summary
Devcontainer CUDA 13.3 configuration .devcontainer/cuda13.3-conda/devcontainer.json, .devcontainer/cuda13.3-pip/devcontainer.json	Both conda and pip devcontainer variants now build with CUDA 13.3 by updating build.args (CUDA version and base image), cacheFrom image tags, runArgs container names, and bind mount source paths for persistent environment storage (conda-envs and venvs directories).
CI workflow CUDA 13.3 pinning .github/workflows/build.yaml, .github/workflows/pr.yaml, .github/workflows/test.yaml, .github/workflows/trigger-breaking-change-alert.yaml	All reusable RAPIDS workflow references across build, PR validation, testing, and notifications are pinned from @main to @cuda-13.3.0. Devcontainer build jobs in build.yaml and pr.yaml update their CUDA matrix from ["12.9", "13.2"] to ["12.9", "13.3"].
Dependency matrix and environment updates dependencies.yaml, conda/environments/all_cuda-133_arch-aarch64.yaml, conda/environments/all_cuda-133_arch-x86_64.yaml	Top-level CUDA matrix, conda cuda_version matrices, and pyproject/requirements cuda-toolkit matrices all add CUDA 13.3 entries with appropriate version pins (cuda-version=13.3 and cuda-toolkit==13.3.*). Generated conda environment files updated to use CUDA 13.3 and renamed to reflect the new version.
Documentation updates README.md	Installation and environment setup examples updated to reference CUDA 13.3 instead of 13.2 in conda commands and environment file names.

---

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

---

Possibly related PRs

• rapidsai/rmm#2378: Similar CUDA version bump following the same infrastructure update pattern across devcontainers and CI workflows.
• rapidsai/rmm#2412: Related devcontainer image and build cache configuration updates for CUDA version alignment.
• rapidsai/rmm#2435: Modifies the same trigger-breaking-change-alert.yaml workflow configuration.

---

Suggested reviewers

• msarahan
• jameslamb

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Title check	✅ Passed	The title clearly summarizes the main change: updating the build and test configuration to use CUDA 13.3.0. It directly aligns with the primary objective of the changeset across all modified files.
Description check	✅ Passed	The pull request description clearly relates to the changeset by explaining the CUDA version upgrade from 13.2 to 13.3.0 across build, test, and devcontainer configurations.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

---

_{Comment @coderabbitai help to get the list of available commands and usage tips.}

[jameslamb]

/merge