[deps][ci] Introduce py312 + cuda13 depsets#61496
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This pull request introduces support for Python 3.12 with CUDA 13 by updating dependency sets and removing the old py312 + cuda12.9 configurations. The changes across CI configuration files (.rayci.yml, .depsets.yaml) and various lock files are consistent with this goal. CI configurations are correctly updated to remove old build matrices, and dependency files are updated to use cu130. The lock files have been correctly regenerated and renamed. The changes appear to be correct and align with the PR's description.
Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com>
Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com>
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aslonnie
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Mar 5, 2026
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## Description vLLM is moving to py312 + cuda13, and we'd like to adapt ray-llm CI environment to match that. - Add depsets for py312 + cuda13 - Remove py312 + cuda12.9 depsets and ray-llm CI / release images introduced in ray-project#61116 and ray-project#61149 respectively. Images are removed together because they depend on py312 + cuda12.9 depsets. ### Follow up Introduce CUDA 13 images for ray-llm and core-gpu: ray-project#61497 ## Related issues > Link related issues: "Fixes ray-project#1234", "Closes ray-project#1234", or "Related to ray-project#1234". ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com> Signed-off-by: Mạnh Lê Đức <naruto12308@gmail.com>
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## Description vLLM is moving to py312 + cuda13, and we'd like to adapt ray-llm CI environment to match that. - Add depsets for py312 + cuda13 - Remove py312 + cuda12.9 depsets and ray-llm CI / release images introduced in ray-project#61116 and ray-project#61149 respectively. Images are removed together because they depend on py312 + cuda12.9 depsets. ### Follow up Introduce CUDA 13 images for ray-llm and core-gpu: ray-project#61497 ## Related issues > Link related issues: "Fixes ray-project#1234", "Closes ray-project#1234", or "Related to ray-project#1234". ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com> Signed-off-by: bittoby <bittoby@users.noreply.github.com>
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Mar 10, 2026
## Description vLLM is moving to py312 + cuda13, and we'd like to adapt ray-llm CI environment to match that. - Add depsets for py312 + cuda13 - Remove py312 + cuda12.9 depsets and ray-llm CI / release images introduced in ray-project#61116 and ray-project#61149 respectively. Images are removed together because they depend on py312 + cuda12.9 depsets. ### Follow up Introduce CUDA 13 images for ray-llm and core-gpu: ray-project#61497 ## Related issues > Link related issues: "Fixes ray-project#1234", "Closes ray-project#1234", or "Related to ray-project#1234". ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com> Signed-off-by: Parag Ekbote <thecoolekbote189@gmail.com>
aslonnie
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Mar 12, 2026
## Description vLLM is moving to py312 + cuda13. To accommodate that, add CUDA 13 CI and release images for ray-llm and core-gpu. ## Approach ### Ray-LLM on CUDA 13 - **CI:** `llmgpubuild-py312` build step using `cu130` base (`.buildkite/llm.rayci.yml`) - **Release images:** `ray-llm-anyscale` py3.12 + `cu13.0.0-cudnn` built and published (`.buildkite/release/build.rayci.yml`) - **BYOD type:** `llm-cu130` (requires Python 3.12) - **Python:** 3.12 ### Core-GPU (Compiled Graphs) on CUDA 13 - **CI:** `coregpu-cu130-build` + `core-multi-gpu-cu130-tests` steps (`.buildkite/core.rayci.yml`) - **Release images:** `ray-ml-anyscale` py3.10 + `cu13.0.0-cudnn` built and published through the full ray-ml chain - **BYOD type:** `gpu-cu130` (requires Python 3.10) - **Release tests:** `compiled_graphs_GPU_cu130` and `compiled_graphs_GPU_multinode_cu130` on L4 instances - **Python:** 3.10 ### Summary Table | Workload | BYOD Type | Python | CUDA | Image Repo | |------------|------------|--------|------|-------------------| | Ray-LLM | llm-cu128 | 3.11 | 12.8 | anyscale/ray-llm | | Ray-LLM | llm-cu130 | 3.12 | 13.0 | anyscale/ray-llm | | Core-GPU | gpu | 3.10 | 12.1 | anyscale/ray-ml | | Core-GPU | gpu-cu130 | 3.10 | 13.0 | anyscale/ray-ml | ## Prerequisite #61496 ## Follow up - Add BYOD types (llm-cu130, gpu-cu130), release test entries, and compute configs for compiled graph tests on CUDA 13. - Switch ray-llm tests to the new py312 + cuda13 image & core-gpu tests (compiled graphs) to run on the new cuda13 image. ## Related issues This is the first step to resolve #61384. ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com> Co-authored-by: Andrew Pollack-Gray <andrew@anyscale.com>
ryanaoleary
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Mar 13, 2026
## Description vLLM is moving to py312 + cuda13, and we'd like to adapt ray-llm CI environment to match that. - Add depsets for py312 + cuda13 - Remove py312 + cuda12.9 depsets and ray-llm CI / release images introduced in ray-project#61116 and ray-project#61149 respectively. Images are removed together because they depend on py312 + cuda12.9 depsets. ### Follow up Introduce CUDA 13 images for ray-llm and core-gpu: ray-project#61497 ## Related issues > Link related issues: "Fixes ray-project#1234", "Closes ray-project#1234", or "Related to ray-project#1234". ## Additional information > Optional: Add implementation details, API changes, usage examples, screenshots, etc. --------- Signed-off-by: Jeffrey Wang <jeffreywang@anyscale.com>
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Description
vLLM is moving to py312 + cuda13, and we'd like to adapt ray-llm CI environment to match that.
Follow up
Introduce CUDA 13 images for ray-llm and core-gpu: #61497
Related issues
Additional information