Use PyTorch nightly with CUDA 13.0 (torch 2.11.0.dev)

vllm/Dockerfile

@@ -54,8 +54,8 @@ ENV PATH=${CUDA_HOME}/cuda/bin:${PATH}
 RUN apt-get update && apt install -y wget
 
 RUN uv pip install numpy==2.0.0
-# Install PyTorch 2.9.0 with CUDA 13.0
-RUN uv pip install torch==2.9.0+cu130 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130
+# Install PyTorch nightly with CUDA 13.0 (bleeding edge)
+RUN uv pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu130
 
 FROM base AS build-base
 RUN mkdir /wheels