[Tracking Feature]: Support vLLM with Python 3.14

[mgoin]

🚀 The feature, motivation and pitch

PyTorch has had official wheels for the past few releases (2.9, 2.10) with Python 3.14 support and we should consider supporting it as well in vLLM. There should be no need to update the vLLM wheel since we already support multiple python versions with one wheel, however we face the issue of needing to resolve vLLM's important dependencies that haven't published compatible 3.14 wheels yet.

I tested using a CUDA 13.0 system and updating pyproject.toml to have requires-python = ">=3.10,<3.15"
This is my attempt to catalog dependency issues known for CUDA as of Feb 8, 2026:

• flashinfer-python==0.6.8: cuda-tile lacks cp314 wheels on pypi. We will need to resolve this with NVIDIA Add support for python 3.14 and prebuilt wheel for python 3.14 NVIDIA/cutile-python#83

  × No solution found when resolving dependencies:
  ╰─▶ Because all versions of cuda-tile have no wheels with a matching Python ABI tag (e.g., `cp314`) and flashinfer-python==0.6.8.post1 depends on cuda-tile, we can conclude
      that flashinfer-python==0.6.8.post1 cannot be used.
      And because vllm==0.20.2rc1.dev47+g2228fe686.precompiled depends on flashinfer-python==0.6.8.post1, we can conclude that vllm==0.20.2rc1.dev47+g2228fe686.precompiled
      cannot be used.
      And because only vllm==0.20.2rc1.dev47+g2228fe686.precompiled is available and you require vllm, we can conclude that your requirements are unsatisfiable.

      hint: Pre-releases are available for `cuda-tile` in the requested range (e.g., 1.0.0rc6), but pre-releases weren't enabled (try: `--prerelease=allow`)

      hint: You require CPython 3.14 (`cp314`), but we only found wheels for `cuda-tile` (v1.3.0) with the following Python ABI tags: `cp310`, `cp311`, `cp312`, `cp313`

• ray[cgraph]>=2.48.0: Ray is not required by default anymore, so we can simply make this optional for 3.14 or remove it from required deps eventually, see discussion in [Dependency] Remove comments of ray in dependency files #33351

  × No solution found when resolving dependencies:
  ╰─▶ Because only the following versions of ray[cgraph] are available:
          ray[cgraph]<=2.48.0
          ray[cgraph]==2.49.0
          ray[cgraph]==2.49.1
          ray[cgraph]==2.49.2
          ray[cgraph]==2.50.0
          ray[cgraph]==2.50.1
          ray[cgraph]==2.51.0
          ray[cgraph]==2.51.1
          ray[cgraph]==2.51.2
          ray[cgraph]==2.52.0
          ray[cgraph]==2.52.1
          ray[cgraph]==2.53.0
      and ray[cgraph]>=2.48.0 has no wheels with a matching Python ABI tag (e.g., `cp314`), we can conclude that ray[cgraph]>=2.48.0 cannot be used.
      And because vllm==0.15.2rc1.dev112+g179ae7da8.d20260208.precompiled depends on ray[cgraph]>=2.48.0, we can conclude that
      vllm==0.15.2rc1.dev112+g179ae7da8.d20260208.precompiled cannot be used.
      And because only vllm==0.15.2rc1.dev112+g179ae7da8.d20260208.precompiled is available and you require vllm, we can conclude that your requirements are unsatisfiable.

      hint: You require CPython 3.14 (`cp314`), but we only found wheels for `ray` (v2.53.0) with the following Python ABI tags: `cp310`, `cp311`, `cp312`, `cp313`

• numba==0.61.2: The first version of numba that supports python 3.14 is 0.63.0 so we need to upgrade https://pypi.org/project/numba/0.63.0/#files

• outlines-core==0.2.11: The first version of outlines-core that supports python 3.14 is 0.2.14 so we need to upgrade https://pypi.org/project/outlines-core/0.2.14/#files

Alternatives

No response

Additional context

Related issues:

• [Installation]: Unable to Install vllm with python 3.14 #26994

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[mgoin]

With this patch, I'm able to successfully install vLLM from source

diff --git a/pyproject.toml b/pyproject.toml
index 5fd603fe4..04535c132 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ classifiers = [
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Topic :: Scientific/Engineering :: Information Analysis",
 ]
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.15"
 dynamic = [ "version", "dependencies", "optional-dependencies"]
 
 [project.urls]
diff --git a/requirements/common.txt b/requirements/common.txt
index f8402410b..b864ea453 100644
--- a/requirements/common.txt
+++ b/requirements/common.txt
@@ -20,7 +20,7 @@ prometheus-fastapi-instrumentator >= 7.0.0
 tiktoken >= 0.6.0  # Required for DBRX tokenizer
 lm-format-enforcer == 0.11.3
 llguidance >= 1.3.0, < 1.4.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "s390x" or platform_machine == "ppc64le"
-outlines_core == 0.2.11
+outlines_core == 0.2.14
 # required for outlines backend disk cache
 diskcache == 5.6.3
 lark == 1.2.2
diff --git a/requirements/cuda.txt b/requirements/cuda.txt
index 960b4252f..1f27f8534 100644
--- a/requirements/cuda.txt
+++ b/requirements/cuda.txt
@@ -1,13 +1,13 @@
 # Common dependencies
 -r common.txt
 
-numba == 0.61.2 # Required for N-gram speculative decoding
+numba == 0.63.1 # Required for N-gram speculative decoding
 
 # Dependencies for NVIDIA GPUs
-ray[cgraph]>=2.48.0
+ray[cgraph]>=2.48.0; python_version < '3.14'
 torch==2.9.1
 torchaudio==2.9.1
 # These must be updated alongside torch
 torchvision==0.24.1 # Required for phi3v processor. See https://github.com/pytorch/vision?tab=readme-ov-file#installation for corresponding version
 # FlashInfer should be updated together with the Dockerfile
-flashinfer-python==0.6.3
+flashinfer-python==0.6.3; python_version < '3.14'

However the more core issue might be that torch.compile doesn't support 3.14 (at least on torch==2.9.1 as of this writing)

  File "/home/mgoin/code/vllm-py314/vllm/utils/deep_gemm.py", line 360, in <module>
    @torch.compile(dynamic=True, backend=current_platform.simple_compile_backend)
     ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mgoin/code/vllm-py314/.venv/lib/python3.14/site-packages/torch/__init__.py", line 2590, in compile
    raise RuntimeError("torch.compile is not supported on Python 3.14+")
RuntimeError: torch.compile is not supported on Python 3.14+```

[Etelis]

I will take this :)

[zou3519]

torch.compile supports python 3.14 in PyTorch 2.10 (https://dev-discuss.pytorch.org/t/torch-compile-support-for-python-3-14-completed/3276)

[elizabetht]

@Etelis Let me know if I can pick this up.

[Etelis]

@Etelis Let me know if I can pick this up.

I'll finish this today.

[nascheme]

I took a shot at creating a PR for this, see #34770. It seems flashinfer-python installs okay with 3.14 so I left it in. Is there some known incompatibility?

[mgoin]

Solved as of cuda-tile 0.1.4! https://docs.nvidia.com/cuda/cutile-python/generated/release_notes.html