镜像构建历史
# 2026-06-09 07:40:48 0.00B 添加元数据标签
LABEL org.opencontainers.image.description=Clean CUDA 13.2.1 vLLM GLM/Kimi image with PyTorch 2.12 cu132, patched NCCL 2.30.4, FlashInfer git, B12X and canonical vLLM branch local-inference.cuda.version=13.2.1 local-inference.cuda.compat.version=595.71.05-1ubuntu1 local-inference.cublas.version=13.4.1.2-1 local-inference.cudnn.version=9.22.0.52-1 local-inference.torch.version=2.12.0+cu132 local-inference.nccl.repo=local-inference-lab/nccl-canonical local-inference.nccl.branch=canonical/cu132-nccl2304-amd-noxml local-inference.nccl.version=2.30.4 local-inference.vllm.repo=https://github.com/local-inference-lab/vllm.git local-inference.vllm.branch=dev/black-benediction local-inference.vllm.commit=bb6c5b7351fceb9d524e0d43b957415ffefcb981 local-inference.b12x.branch=refs/pull/11/head local-inference.b12x.commit=d90d89c8353adabb56cc84bd3924ef811ef8d877 local-inference.b12x.runtime_version=source local-inference.flashinfer.branch=refs/pull/3395/head local-inference.flashinfer.commit=b41aa8dd2fb93c49b1c6134bd1953040f8089d51 local-inference.deepgemm.branch=refs/pull/324/head local-inference.deepgemm.commit=aced12c2c8882a945c568ace9d4a7e5778aae410
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG CUDA_COMPAT_13_2_VERSION=595.71.05-1ubuntu1
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG CUDNN_CUDA13_VERSION=9.22.0.52-1
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG CUBLAS_CUDA13_VERSION=13.4.1.2-1
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG DEEPGEMM_COMMIT=aced12c2c8882a945c568ace9d4a7e5778aae410
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG DEEPGEMM_REF=refs/pull/324/head
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG FLASHINFER_COMMIT=b41aa8dd2fb93c49b1c6134bd1953040f8089d51
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG FLASHINFER_REF=refs/pull/3395/head
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG B12X_COMMIT=d90d89c8353adabb56cc84bd3924ef811ef8d877
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG B12X_REF=refs/pull/11/head
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG VLLM_COMMIT=bb6c5b7351fceb9d524e0d43b957415ffefcb981
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG VLLM_REF=dev/black-benediction
# 2026-06-09 07:40:48 0.00B 定义构建参数
ARG VLLM_REPO=https://github.com/local-inference-lab/vllm.git
# 2026-06-09 07:40:48 0.00B 设置默认要执行的命令
CMD ["/usr/local/bin/run-kimi26-vllm"]
# 2026-06-09 07:40:48 0.00B 设置工作目录为/
WORKDIR /
# 2026-06-09 07:40:48 0.00B 执行命令并创建新的镜像层
RUN /bin/bash -euxo pipefail -c mkdir -p /cache/jit/triton /cache/jit/torch_extensions /cache/jit/vllm /cache/jit/flashinfer && strings /opt/libnccl-local-inference.so.2.30.4 | grep -F "NCCL version 2.30.4 compiled with CUDA 13.2" && /usr/local/bin/verify-glm-kimi-cu132 /opt/vllm && python - <<'PY'
import torch, flashinfer, vllm
import deep_gemm
print("torch", torch.__version__, torch.version.cuda)
print("torch nccl", torch.cuda.nccl.version())
print("flashinfer", getattr(flashinfer, "__version__", "unknown"))
print("deep_gemm", getattr(deep_gemm, "__version__", "unknown"))
print("vllm", getattr(vllm, "__version__", "unknown"))
assert torch.__version__.startswith("2.12.0+cu132")
assert torch.version.cuda == "13.2"
PY # buildkit
# 2026-06-09 07:40:34 0.00B 设置环境变量 VIRTUAL_ENV PATH CUDA_DEVICE_ORDER TORCH_CUDA_ARCH_LIST FLASHINFER_CUDA_ARCH_LIST FLASHINFER_LOCAL_VERSION FLASHINFER_DISABLE_VERSION_CHECK HF_HOME TRITON_CACHE_DIR TORCH_EXTENSIONS_DIR VLLM_CACHE_DIR FLASHINFER_WORKSPACE_BASE TVM_FFI_CACHE_DIR XDG_CACHE_HOME NCCL_LOCAL_INFERENCE_PATH NCCL_PR2127_PATH VLLM_NCCL_SO_PATH LD_PRELOAD NCCL_IB_DISABLE NCCL_P2P_LEVEL NCCL_PROTO VLLM_ENABLE_PCIE_ALLREDUCE VLLM_PCIE_ALLREDUCE_BACKEND VLLM_CPP_AR_1STAGE_NCCL_CUTOFF VLLM_CPP_AR_IGNORE_CUTOFF_MAX_ROWS VLLM_RTX6K_FUSED_ALLREDUCE_ADD VLLM_RTX6K_FUSED_ALLREDUCE_ADD_END_BARRIER VLLM_DISABLE_SHARED_EXPERTS_STREAM VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS VLLM_DISABLED_KERNELS
ENV VIRTUAL_ENV=/opt/venv PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin CUDA_DEVICE_ORDER=PCI_BUS_ID TORCH_CUDA_ARCH_LIST=12.0a FLASHINFER_CUDA_ARCH_LIST=12.0f FLASHINFER_LOCAL_VERSION=cu132 FLASHINFER_DISABLE_VERSION_CHECK=1 HF_HOME=/root/.cache/huggingface TRITON_CACHE_DIR=/cache/jit/triton TORCH_EXTENSIONS_DIR=/cache/jit/torch_extensions VLLM_CACHE_DIR=/cache/jit/vllm FLASHINFER_WORKSPACE_BASE=/cache/jit/flashinfer TVM_FFI_CACHE_DIR=/cache/jit/tvm-ffi XDG_CACHE_HOME=/cache/jit NCCL_LOCAL_INFERENCE_PATH=/opt/libnccl-local-inference.so.2.30.4 NCCL_PR2127_PATH=/opt/libnccl-local-inference.so.2.30.4 VLLM_NCCL_SO_PATH=/opt/libnccl-local-inference.so.2.30.4 LD_PRELOAD=/opt/libnccl-local-inference.so.2.30.4 NCCL_IB_DISABLE=1 NCCL_P2P_LEVEL=SYS NCCL_PROTO=LL,LL128,Simple VLLM_ENABLE_PCIE_ALLREDUCE=1 VLLM_PCIE_ALLREDUCE_BACKEND=cpp VLLM_CPP_AR_1STAGE_NCCL_CUTOFF=56KB VLLM_CPP_AR_IGNORE_CUTOFF_MAX_ROWS=0 VLLM_RTX6K_FUSED_ALLREDUCE_ADD=0 VLLM_RTX6K_FUSED_ALLREDUCE_ADD_END_BARRIER=0 VLLM_DISABLE_SHARED_EXPERTS_STREAM=0 VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1 VLLM_DISABLED_KERNELS=MarlinFP8ScaledMMLinearKernel
# 2026-06-09 07:40:34 31.77KB 执行命令并创建新的镜像层
RUN /bin/bash -euxo pipefail -c cublas="$(readlink -f /usr/lib/x86_64-linux-gnu/libcublas/13/libcublas.so.13)" && cublas_lt="$(readlink -f /usr/lib/x86_64-linux-gnu/libcublas/13/libcublasLt.so.13)" && cublas_name="$(basename "${cublas}")" && cublas_lt_name="$(basename "${cublas_lt}")" && test -f "${cublas}" && test -f "${cublas_lt}" && for cuda_libdir in /usr/local/cuda/targets/x86_64-linux/lib /usr/local/cuda-13.2/targets/x86_64-linux/lib; do if [[ -d "${cuda_libdir}" ]]; then cuda_libdir="$(readlink -f "${cuda_libdir}")"; rm -f "${cuda_libdir}"/libcublas.so "${cuda_libdir}"/libcublas.so.13 "${cuda_libdir}"/libcublas.so.13.*; rm -f "${cuda_libdir}"/libcublasLt.so "${cuda_libdir}"/libcublasLt.so.13 "${cuda_libdir}"/libcublasLt.so.13.*; ln -s "${cublas}" "${cuda_libdir}/${cublas_name}"; ln -s "${cublas_name}" "${cuda_libdir}/libcublas.so.13"; ln -s libcublas.so.13 "${cuda_libdir}/libcublas.so"; ln -s "${cublas_lt}" "${cuda_libdir}/${cublas_lt_name}"; ln -s "${cublas_lt_name}" "${cuda_libdir}/libcublasLt.so.13"; ln -s libcublasLt.so.13 "${cuda_libdir}/libcublasLt.so"; fi; done && ldconfig # buildkit
# 2026-06-09 07:40:34 1.22GB 执行命令并创建新的镜像层
RUN /bin/bash -euxo pipefail -c printf '%s\n' 'torch==2.12.0+cu132' 'torchvision==0.27.0+cu132' 'cuda-bindings==13.2.0' 'cuda-python==13.2.0' 'nvidia-cuda-cccl==13.2.75' 'nvidia-cuda-crt==13.2.78' 'nvidia-cuda-nvcc==13.2.78' 'nvidia-nvjitlink==13.2.78' 'nvidia-nvvm==13.2.78' > /tmp/torch-cu132-constraints.txt && /opt/venv/bin/python -m pip install --upgrade --index-url https://download.pytorch.org/whl/cu132 --extra-index-url https://pypi.org/simple --constraint /tmp/torch-cu132-constraints.txt "cuda-bindings==13.2.0" "cuda-python==13.2.0" "numba==0.65.0" "quack-kernels>=0.3.3" "humming-kernels[cu13]==0.1.4" "nvidia-nvjitlink==13.2.78" "tilelang==0.1.9" "tokenspeed-mla==0.1.2" "transformers>=5.5.1" "apache-tvm-ffi==0.1.9" "fastsafetensors>=0.3.2" && /opt/venv/bin/python -m pip check # buildkit
# 2026-06-09 07:40:20 813.00B 复制新文件或目录到容器中
COPY /usr/local/bin/verify-glm-kimi-cu132 /usr/local/bin/verify-glm-kimi-cu132 # buildkit
# 2026-06-09 07:40:20 17.51KB 复制新文件或目录到容器中
COPY /usr/local/bin/serve-*.sh /usr/local/bin/ # buildkit
# 2026-06-09 07:40:20 86.00B 复制新文件或目录到容器中
COPY /usr/local/bin/run-kimi26-vllm /usr/local/bin/run-kimi26-vllm # buildkit
# 2026-06-09 07:40:20 7.42KB 复制新文件或目录到容器中
COPY /usr/local/bin/run-glm51-vllm /usr/local/bin/run-glm51-vllm # buildkit
# 2026-06-09 07:40:20 42.36MB 复制新文件或目录到容器中
COPY /opt/vllm /opt/vllm # buildkit
# 2026-06-09 07:40:20 9.48GB 复制新文件或目录到容器中
COPY /opt/venv /opt/venv # buildkit
# 2026-06-09 07:40:20 0.00B
SHELL [/bin/bash -euxo pipefail -c]
# 2026-06-09 06:15:47 0.00B 添加元数据标签
LABEL org.opencontainers.image.description=Reusable CUDA 13.2.1 GLM/Kimi system base with latest CUDA 13.2-compatible cuBLAS/cuDNN overlays and patched NCCL 2.30.4 local-inference.cuda.version=13.2.1 local-inference.cuda.compat.version=595.71.05-1ubuntu1 local-inference.cublas.version=13.4.1.2-1 local-inference.cudnn.version=9.22.0.52-1 local-inference.nccl.repo=local-inference-lab/nccl-canonical local-inference.nccl.branch=canonical/cu132-nccl2304-amd-noxml local-inference.nccl.version=2.30.4
# 2026-06-09 06:15:47 0.00B 设置环境变量 NCCL_LOCAL_INFERENCE_PATH NCCL_PR2127_PATH VLLM_NCCL_SO_PATH NCCL_GRAPH_FILE
ENV NCCL_LOCAL_INFERENCE_PATH=/opt/libnccl-local-inference.so.2.30.4 NCCL_PR2127_PATH=/opt/libnccl-local-inference.so.2.30.4 VLLM_NCCL_SO_PATH=/opt/libnccl-local-inference.so.2.30.4 NCCL_GRAPH_FILE=
# 2026-06-09 06:15:47 224.80MB 复制新文件或目录到容器中
COPY /build/nccl/build/lib/libnccl.so.2.30.4 /opt/libnccl-local-inference.so.2.30.4 # buildkit
# 2026-06-09 06:15:47 10.20KB 执行命令并创建新的镜像层
RUN |6 PYTHON_VERSION=3.12 NCCL_SONAME=libnccl.so.2.30.4 CUBLAS_CUDA13_VERSION=13.4.1.2-1 CUDNN_CUDA13_VERSION=9.22.0.52-1 CUDA_COMPAT_13_2_VERSION=595.71.05-1ubuntu1 DEBIAN_FRONTEND=noninteractive /bin/bash -euxo pipefail -c update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 && update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1 # buildkit
# 2026-06-09 06:15:47 31.77KB 执行命令并创建新的镜像层
RUN |6 PYTHON_VERSION=3.12 NCCL_SONAME=libnccl.so.2.30.4 CUBLAS_CUDA13_VERSION=13.4.1.2-1 CUDNN_CUDA13_VERSION=9.22.0.52-1 CUDA_COMPAT_13_2_VERSION=595.71.05-1ubuntu1 DEBIAN_FRONTEND=noninteractive /bin/bash -euxo pipefail -c cublas="$(readlink -f /usr/lib/x86_64-linux-gnu/libcublas/13/libcublas.so.13)" && cublas_lt="$(readlink -f /usr/lib/x86_64-linux-gnu/libcublas/13/libcublasLt.so.13)" && cublas_name="$(basename "${cublas}")" && cublas_lt_name="$(basename "${cublas_lt}")" && test -f "${cublas}" && test -f "${cublas_lt}" && for cuda_libdir in /usr/local/cuda/targets/x86_64-linux/lib /usr/local/cuda-${CUDA_VERSION}/targets/x86_64-linux/lib; do if [[ -d "${cuda_libdir}" ]]; then cuda_libdir="$(readlink -f "${cuda_libdir}")"; rm -f "${cuda_libdir}"/libcublas.so "${cuda_libdir}"/libcublas.so.13 "${cuda_libdir}"/libcublas.so.13.*; rm -f "${cuda_libdir}"/libcublasLt.so "${cuda_libdir}"/libcublasLt.so.13 "${cuda_libdir}"/libcublasLt.so.13.*; ln -s "${cublas}" "${cuda_libdir}/${cublas_name}"; ln -s "${cublas_name}" "${cuda_libdir}/libcublas.so.13"; ln -s libcublas.so.13 "${cuda_libdir}/libcublas.so"; ln -s "${cublas_lt}" "${cuda_libdir}/${cublas_lt_name}"; ln -s "${cublas_lt_name}" "${cuda_libdir}/libcublasLt.so.13"; ln -s libcublasLt.so.13 "${cuda_libdir}/libcublasLt.so"; fi; done && ldconfig # buildkit
# 2026-06-09 06:15:47 4.38GB 执行命令并创建新的镜像层
RUN |6 PYTHON_VERSION=3.12 NCCL_SONAME=libnccl.so.2.30.4 CUBLAS_CUDA13_VERSION=13.4.1.2-1 CUDNN_CUDA13_VERSION=9.22.0.52-1 CUDA_COMPAT_13_2_VERSION=595.71.05-1ubuntu1 DEBIAN_FRONTEND=noninteractive /bin/bash -euxo pipefail -c for attempt in {1..5}; do if apt-get update; then break; fi; if [[ "${attempt}" == "5" ]]; then exit 1; fi; rm -rf /var/lib/apt/lists/*; sleep $((attempt * 10)); done && apt-get install -y --allow-change-held-packages --no-install-recommends python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv python3-pip git git-lfs wget curl ca-certificates build-essential cmake ninja-build ccache pkg-config patchelf libssl-dev libffi-dev libjpeg-dev libpng-dev libgomp1 numactl libnuma-dev libibverbs-dev pciutils cuda-compat-13-2=${CUDA_COMPAT_13_2_VERSION} libcublas13-cuda-13=${CUBLAS_CUDA13_VERSION} libcublas13-dev-cuda-13=${CUBLAS_CUDA13_VERSION} cublas-cuda-13=${CUBLAS_CUDA13_VERSION} libcudnn9-cuda-13=${CUDNN_CUDA13_VERSION} libcudnn9-dev-cuda-13=${CUDNN_CUDA13_VERSION} libcudnn9-headers-cuda-13=${CUDNN_CUDA13_VERSION} libcudnn9-static-cuda-13=${CUDNN_CUDA13_VERSION} && ldconfig && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-06-09 06:15:47 0.00B 设置环境变量 LANG LC_ALL PYTHONDONTWRITEBYTECODE PYTHONUNBUFFERED PIP_DISABLE_PIP_VERSION_CHECK
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PIP_DISABLE_PIP_VERSION_CHECK=1
# 2026-06-09 06:15:47 0.00B
SHELL [/bin/bash -euxo pipefail -c]
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG CUDA_COMPAT_13_2_VERSION=595.71.05-1ubuntu1
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG CUDNN_CUDA13_VERSION=9.22.0.52-1
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG CUBLAS_CUDA13_VERSION=13.4.1.2-1
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG NCCL_SONAME=libnccl.so.2.30.4
# 2026-06-09 06:15:47 0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
# 2026-04-18 00:24:02 485.98MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} ${NV_CUDNN_PACKAGE_DEV_HEADERS} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-18 00:24:02 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.20.0.48-1
# 2026-04-18 00:24:02 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-18 00:24:02 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-18 00:24:02 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.20.0.48-1
# 2026-04-18 00:24:02 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.20.0.48-1
# 2026-04-18 00:24:02 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.20.0.48-1
# 2026-04-18 00:24:02 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
# 2026-04-18 00:24:02 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.20.0.48-1
# 2026-04-17 23:47:00 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2026-04-17 23:47:00 393.98KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} # buildkit
# 2026-04-17 23:46:59 62.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NSYS_PATH=$(find /opt/nvidia/nsight-compute -type f -name "nsys" 2>/dev/null | head -n 1); if [ -n "$NSYS_PATH" ] && [ ! -f /usr/local/bin/nsys ]; then ln -s "$NSYS_PATH" /usr/local/bin/nsys; fi # buildkit
# 2026-04-17 23:46:59 4.74GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-13-2=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-13-2=${NV_CUDA_LIB_VERSION} cuda-minimal-build-13-2=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-13-2=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-13-2=${NV_NVML_DEV_VERSION} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-13-2=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:46:59 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-17 23:46:59 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.1-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.1-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.4.0.1-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.4.0.1-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.48-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.1.0.48-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.7.10.1-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.2.82-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.2.75-1
# 2026-04-17 23:46:59 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.1-1
# 2026-04-17 23:37:53 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2026-04-17 23:37:53 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2026-04-17 23:37:53 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2026-04-17 23:37:53 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2026-04-17 23:37:53 241.12KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
# 2026-04-17 23:37:53 1.83GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-13-2=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-13-2=${NV_NVTX_VERSION} libcusparse-13-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:37:53 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-17 23:37:53 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.4.0.1-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.4.0.1-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.7.10.1-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.48-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.1.0.48-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.2.75-1
# 2026-04-17 23:37:53 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.1-1
# 2026-04-17 23:17:50 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2026-04-17 23:17:50 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2026-04-17 23:17:50 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2026-04-17 23:17:50 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
# 2026-04-17 23:17:50 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2026-04-17 23:17:50 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2026-04-17 23:17:50 0.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && if apt-cache policy cuda-compat-orin-13-2 2>/dev/null | grep -q "Candidate:"; then apt-get install -y --no-install-recommends cuda-compat-orin-13-2; fi && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:17:44 430.90MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && if apt-cache policy cuda-compat-13-2 2>/dev/null | grep -q "Candidate:"; then apt-get install -y --no-install-recommends cuda-compat-13-2; fi && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:17:22 1.54MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-13-2=${NV_CUDA_CUDART_VERSION} cuda-toolkit-13-2-config-common=${NV_CUDA_CUDART_VERSION} cuda-toolkit-13-config-common=${NV_CUDA_CUDART_VERSION} cuda-toolkit-config-common=${NV_CUDA_CUDART_VERSION} && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:17:05 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.2.1
# 2026-04-17 23:17:05 10.27MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-17 23:17:05 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2026-04-17 23:17:05 0.00B 定义构建参数
ARG TARGETARCH
# 2026-04-17 23:17:05 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.2.75-1
# 2026-04-17 23:17:05 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=13.2 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=580,driver<581 brand=grid,driver>=580,driver<581 brand=tesla,driver>=580,driver<581 brand=nvidia,driver>=580,driver<581 brand=quadro,driver>=580,driver<581 brand=quadrortx,driver>=580,driver<581 brand=nvidiartx,driver>=580,driver<581 brand=vapps,driver>=580,driver<581 brand=vpc,driver>=580,driver<581 brand=vcs,driver>=580,driver<581 brand=vws,driver>=580,driver<581 brand=cloudgaming,driver>=580,driver<581 brand=unknown,driver>=590,driver<591 brand=grid,driver>=590,driver<591 brand=tesla,driver>=590,driver<591 brand=nvidia,driver>=590,driver<591 brand=quadro,driver>=590,driver<591 brand=quadrortx,driver>=590,driver<591 brand=nvidiartx,driver>=590,driver<591 brand=vapps,driver>=590,driver<591 brand=vpc,driver>=590,driver<591 brand=vcs,driver>=590,driver<591 brand=vws,driver>=590,driver<591 brand=cloudgaming,driver>=590,driver<591
# 2026-04-17 23:17:05 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2026-04-10 14:49:18 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2026-04-10 14:49:17 78.14MB
/bin/sh -c #(nop) ADD file:8ce1caf246e7c778bca84c516d02fd4e83766bb2c530a0fffa8a351b560a2728 in /
# 2026-04-10 14:49:15 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2026-04-10 14:49:15 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2026-04-10 14:49:15 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"RepoTags": [
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"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/voipmonitor/vllm:black-benediction-b12xpr11-vllmbb6c5b7-b12xd90d89c-fi3395b41aa8d-dg324aced12c-cu132-20260608"
],
"RepoDigests": [
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"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/voipmonitor/vllm@sha256:be32085a4382adaa19268c12dce177d58768ccc537d508e2e7d28bcb65dfd544"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-06-08T23:40:48.217360371Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=13.2 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571 brand=unknown,driver\u003e=580,driver\u003c581 brand=grid,driver\u003e=580,driver\u003c581 brand=tesla,driver\u003e=580,driver\u003c581 brand=nvidia,driver\u003e=580,driver\u003c581 brand=quadro,driver\u003e=580,driver\u003c581 brand=quadrortx,driver\u003e=580,driver\u003c581 brand=nvidiartx,driver\u003e=580,driver\u003c581 brand=vapps,driver\u003e=580,driver\u003c581 brand=vpc,driver\u003e=580,driver\u003c581 brand=vcs,driver\u003e=580,driver\u003c581 brand=vws,driver\u003e=580,driver\u003c581 brand=cloudgaming,driver\u003e=580,driver\u003c581 brand=unknown,driver\u003e=590,driver\u003c591 brand=grid,driver\u003e=590,driver\u003c591 brand=tesla,driver\u003e=590,driver\u003c591 brand=nvidia,driver\u003e=590,driver\u003c591 brand=quadro,driver\u003e=590,driver\u003c591 brand=quadrortx,driver\u003e=590,driver\u003c591 brand=nvidiartx,driver\u003e=590,driver\u003c591 brand=vapps,driver\u003e=590,driver\u003c591 brand=vpc,driver\u003e=590,driver\u003c591 brand=vcs,driver\u003e=590,driver\u003c591 brand=vws,driver\u003e=590,driver\u003c591 brand=cloudgaming,driver\u003e=590,driver\u003c591",
"NV_CUDA_CUDART_VERSION=13.2.75-1",
"CUDA_VERSION=13.2.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=13.2.1-1",
"NV_NVTX_VERSION=13.2.75-1",
"NV_LIBNPP_VERSION=13.1.0.48-1",
"NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.48-1",
"NV_LIBCUSPARSE_VERSION=12.7.10.1-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2",
"NV_LIBCUBLAS_VERSION=13.4.0.1-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.4.0.1-1",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=13.2.75-1",
"NV_NVML_DEV_VERSION=13.2.82-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.7.10.1-1",
"NV_LIBNPP_DEV_VERSION=13.1.0.48-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.48-1",
"NV_LIBCUBLAS_DEV_VERSION=13.4.0.1-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.4.0.1-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.1-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.1-1",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"NV_CUDNN_VERSION=9.20.0.48-1",
"NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13",
"NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.20.0.48-1",
"NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.20.0.48-1",
"NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.20.0.48-1",
"LANG=C.UTF-8",
"LC_ALL=C.UTF-8",
"PYTHONDONTWRITEBYTECODE=1",
"PYTHONUNBUFFERED=1",
"PIP_DISABLE_PIP_VERSION_CHECK=1",
"NCCL_LOCAL_INFERENCE_PATH=/opt/libnccl-local-inference.so.2.30.4",
"NCCL_PR2127_PATH=/opt/libnccl-local-inference.so.2.30.4",
"VLLM_NCCL_SO_PATH=/opt/libnccl-local-inference.so.2.30.4",
"NCCL_GRAPH_FILE=",
"VIRTUAL_ENV=/opt/venv",
"CUDA_DEVICE_ORDER=PCI_BUS_ID",
"TORCH_CUDA_ARCH_LIST=12.0a",
"FLASHINFER_CUDA_ARCH_LIST=12.0f",
"FLASHINFER_LOCAL_VERSION=cu132",
"FLASHINFER_DISABLE_VERSION_CHECK=1",
"HF_HOME=/root/.cache/huggingface",
"TRITON_CACHE_DIR=/cache/jit/triton",
"TORCH_EXTENSIONS_DIR=/cache/jit/torch_extensions",
"VLLM_CACHE_DIR=/cache/jit/vllm",
"FLASHINFER_WORKSPACE_BASE=/cache/jit/flashinfer",
"TVM_FFI_CACHE_DIR=/cache/jit/tvm-ffi",
"XDG_CACHE_HOME=/cache/jit",
"LD_PRELOAD=/opt/libnccl-local-inference.so.2.30.4",
"NCCL_IB_DISABLE=1",
"NCCL_P2P_LEVEL=SYS",
"NCCL_PROTO=LL,LL128,Simple",
"VLLM_ENABLE_PCIE_ALLREDUCE=1",
"VLLM_PCIE_ALLREDUCE_BACKEND=cpp",
"VLLM_CPP_AR_1STAGE_NCCL_CUTOFF=56KB",
"VLLM_CPP_AR_IGNORE_CUTOFF_MAX_ROWS=0",
"VLLM_RTX6K_FUSED_ALLREDUCE_ADD=0",
"VLLM_RTX6K_FUSED_ALLREDUCE_ADD_END_BARRIER=0",
"VLLM_DISABLE_SHARED_EXPERTS_STREAM=0",
"VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1",
"VLLM_DISABLED_KERNELS=MarlinFP8ScaledMMLinearKernel"
],
"Cmd": [
"/usr/local/bin/run-kimi26-vllm"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
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"local-inference.b12x.branch": "refs/pull/11/head",
"local-inference.b12x.commit": "d90d89c8353adabb56cc84bd3924ef811ef8d877",
"local-inference.b12x.runtime_version": "source",
"local-inference.cublas.version": "13.4.1.2-1",
"local-inference.cuda.compat.version": "595.71.05-1ubuntu1",
"local-inference.cuda.version": "13.2.1",
"local-inference.cudnn.version": "9.22.0.52-1",
"local-inference.deepgemm.branch": "refs/pull/324/head",
"local-inference.deepgemm.commit": "aced12c2c8882a945c568ace9d4a7e5778aae410",
"local-inference.flashinfer.branch": "refs/pull/3395/head",
"local-inference.flashinfer.commit": "b41aa8dd2fb93c49b1c6134bd1953040f8089d51",
"local-inference.nccl.branch": "canonical/cu132-nccl2304-amd-noxml",
"local-inference.nccl.repo": "local-inference-lab/nccl-canonical",
"local-inference.nccl.version": "2.30.4",
"local-inference.torch.version": "2.12.0+cu132",
"local-inference.vllm.branch": "dev/black-benediction",
"local-inference.vllm.commit": "bb6c5b7351fceb9d524e0d43b957415ffefcb981",
"local-inference.vllm.repo": "https://github.com/local-inference-lab/vllm.git",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.description": "Clean CUDA 13.2.1 vLLM GLM/Kimi image with PyTorch 2.12 cu132, patched NCCL 2.30.4, FlashInfer git, B12X and canonical vLLM branch",
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},
"Shell": [
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"-euxo",
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"-c"
]
},
"Architecture": "amd64",
"Os": "linux",
"Size": 22917906023,
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