fix: use nvidia-nccl-cu12 2.27.5 (#7787)

docker/Dockerfile

@@ -57,7 +57,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5li
     esac \
  && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} \
  && if [ "$CUDA_VERSION" = "12.8.1" ]; then \
-      python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.3 --force-reinstall --no-deps ; \
+      python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.5 --force-reinstall --no-deps ; \
       python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.3/sgl_kernel-0.2.3+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \
     fi