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ghcr.io/anemll/dspark-vllm-gx10:0.1.1
linux/arm64 ghcr.io 马马虎虎 贡献 请确认架构匹配

这个镜像是托管在GitHub Container Registry(ghcr.io)上的容器镜像,由anemll发布,镜像名称为dspark-vllm-gx10,可能与dspark项目及vllm(大语言模型高效推理引擎)相关,适用于特定场景下的大语言模型推理任务。

16
浏览次数
18.80GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64
源镜像
ghcr.io/anemll/dspark-vllm-gx10:0.1.1
镜像ID
sha256:3430d6614a8e2925f34d059af6caf05aff42387326db4d05639a60f10f2654d8
镜像 TAG
0.1.1-linuxarm64
镜像大小
18.80GB
平台架构
linux/arm64
镜像源
ghcr.io
CMD
启动入口
vllm serve
工作目录
/vllm-workspace
OS/平台
linux/arm64
镜像创建
2026-07-15T08:42:02.065136698-07:00
同步时间
2026-08-12 00:31
浏览量
16 次
贡献者
avatar 马马虎虎
⚙️ 环境变量 22
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=sbsa 1
NVIDIA_REQUIRE_CUDA=cuda>=13.0 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>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 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>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576 2
NV_CUDA_CUDART_VERSION=13.0.96-1 3
CUDA_VERSION=13.0.2 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
DEBIAN_FRONTEND=noninteractive 8
UV_HTTP_TIMEOUT=500 9
UV_INDEX_STRATEGY=unsafe-best-match 10
UV_LINK_MODE=copy 11
UV_PYTHON_INSTALL_DIR=/opt/uv/python 12
UV_CACHE_DIR=/opt/uv/cache 13
VLLM_ENABLE_CUDA_COMPATIBILITY=0 14
TORCH_CUDA_ARCH_LIST=12.0+PTX 15
VLLM_USAGE_SOURCE=production-docker-image 16
VLLM_BUILD_COMMIT=unknown 17
VLLM_BUILD_PIPELINE=local 18
VLLM_BUILD_URL= 19
VLLM_IMAGE_TAG=local/vllm-openai:dev 20
FLASHINFER_DISABLE_VERSION_CHECK=1 21
🏷️ 镜像标签 12
KeyValue
unknown ai.vllm.build.commit
local ai.vllm.build.pipeline
ai.vllm.build.url
local/vllm-openai:dev ai.vllm.image.tag
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
Two-node GB10 DSpark/NVFP4 vLLM runtime org.opencontainers.image.description
MIT AND Apache-2.0 org.opencontainers.image.licenses
ubuntu org.opencontainers.image.ref.name
47503f8e38dadd4dededca798150db2619594fce org.opencontainers.image.revision
https://github.com/Anemll/dspark-vllm-gx10 org.opencontainers.image.source
org.opencontainers.image.url
0.1.1 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-08-12 00:33 查看完整报告
395
低危 LOW
3051
中危 MEDIUM
185
高危 HIGH
6
严重 CRITICAL
受影响目标 (4)
ghcr.io/anemll/dspark-vllm-gx10:0.1.1 (ubuntu 22.04) ubuntu Python python-pkg usr/local/bin/uv rustbinary usr/local/bin/uvx rustbinary

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64  ghcr.io/anemll/dspark-vllm-gx10:0.1.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64  ghcr.io/anemll/dspark-vllm-gx10:0.1.1

Shell快速替换命令

sed -i 's#ghcr.io/anemll/dspark-vllm-gx10:0.1.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64  ghcr.io/anemll/dspark-vllm-gx10:0.1.1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/anemll/dspark-vllm-gx10:0.1.1-linuxarm64  ghcr.io/anemll/dspark-vllm-gx10:0.1.1'

镜像构建历史


# 2026-07-15 23:42:02  11.36KB 复制新文件或目录到容器中
COPY LICENSES/Apache-2.0.txt /usr/share/licenses/dspark-vllm-gx10/Apache-2.0.txt # buildkit
                        
# 2026-07-15 23:42:02  6.47KB 复制新文件或目录到容器中
COPY LICENSE NOTICE CREDITS.md /usr/share/licenses/dspark-vllm-gx10/ # buildkit
                        
# 2026-07-15 23:42:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.version=0.1.1
                        
# 2026-07-15 23:42:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.revision=47503f8e38dadd4dededca798150db2619594fce
                        
# 2026-07-15 23:42:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.licenses=MIT AND Apache-2.0
                        
# 2026-07-15 23:42:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.description=Two-node GB10 DSpark/NVFP4 vLLM runtime
                        
# 2026-07-15 23:42:02  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/Anemll/dspark-vllm-gx10
                        
# 2026-07-15 23:42:02  0.00B 定义构建参数
ARG RELEASE_VERSION=0.1.1
                        
# 2026-07-15 23:42:02  0.00B 定义构建参数
ARG SOURCE_REVISION=47503f8e38dadd4dededca798150db2619594fce
                        
# 2026-07-15 23:07:10  1.05MB 复制新文件或目录到容器中
COPY overlay/vllm/ /usr/local/lib/python3.12/dist-packages/vllm/ # buildkit
                        
# 2026-07-15 09:50:38  39.05KB 复制新文件或目录到容器中
COPY vllm/models/deepseek_v4/nvidia/flashinfer_sparse.py /usr/local/lib/python3.12/dist-packages/vllm/models/deepseek_v4/nvidia/flashinfer_sparse.py # buildkit
                        
# 2026-07-15 09:28:56  33.95KB 复制新文件或目录到容器中
COPY vllm/utils/flashinfer.py /usr/local/lib/python3.12/dist-packages/vllm/utils/flashinfer.py # buildkit
                        
# 2026-07-15 09:28:56  30.94KB 复制新文件或目录到容器中
COPY vllm/v1/attention/backends/mla/sparse_swa.py /usr/local/lib/python3.12/dist-packages/vllm/v1/attention/backends/mla/sparse_swa.py # buildkit
                        
# 2026-07-15 09:12:08  36.41KB 复制新文件或目录到容器中
COPY vllm/v1/kv_cache_interface.py /usr/local/lib/python3.12/dist-packages/vllm/v1/kv_cache_interface.py # buildkit
                        
# 2026-07-15 09:12:08  1.34GB 执行命令并创建新的镜像层
RUN |1 FLASHINFER_COMMIT=0472b9b3f2fba11b463f8526f390297d52a8aad7 /bin/sh -c python3 -m pip install --no-deps --no-build-isolation --force-reinstall     "https://github.com/flashinfer-ai/flashinfer/archive/${FLASHINFER_COMMIT}.tar.gz" # buildkit
                        
# 2026-07-15 09:12:08  0.00B 设置环境变量 FLASHINFER_DISABLE_VERSION_CHECK
ENV FLASHINFER_DISABLE_VERSION_CHECK=1
                        
# 2026-07-15 09:12:08  0.00B 定义构建参数
ARG FLASHINFER_COMMIT=0472b9b3f2fba11b463f8526f390297d52a8aad7
                        
# 2026-07-15 08:15:11  36.41KB 复制新文件或目录到容器中
COPY vllm/v1/kv_cache_interface.py /usr/local/lib/python3.12/dist-packages/vllm/v1/kv_cache_interface.py # buildkit
                        
# 2026-07-15 07:58:45  9.22MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip install --no-cache-dir --no-deps /opt/b12x # buildkit
                        
# 2026-07-15 07:58:43  9.86MB 复制新文件或目录到容器中
COPY /opt/b12x /opt/b12x # buildkit
                        
# 2026-07-15 07:45:55  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["vllm" "serve"]
                        
# 2026-07-15 07:45:55  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/vllm-project/vllm org.opencontainers.image.revision=unknown org.opencontainers.image.version=local/vllm-openai:dev org.opencontainers.image.url= ai.vllm.build.commit=unknown ai.vllm.build.pipeline=local ai.vllm.build.url= ai.vllm.image.tag=local/vllm-openai:dev
                        
# 2026-07-15 07:45:55  0.00B 设置环境变量 VLLM_BUILD_COMMIT VLLM_BUILD_PIPELINE VLLM_BUILD_URL VLLM_IMAGE_TAG
ENV VLLM_BUILD_COMMIT=unknown VLLM_BUILD_PIPELINE=local VLLM_BUILD_URL= VLLM_IMAGE_TAG=local/vllm-openai:dev
                        
# 2026-07-15 07:45:55  0.00B 设置环境变量 VLLM_USAGE_SOURCE
ENV VLLM_USAGE_SOURCE=production-docker-image
                        
# 2026-07-15 07:45:55  0.00B 执行命令并创建新的镜像层
RUN |29 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= INSTALL_KV_CONNECTORS=false VLLM_BUILD_COMMIT= VLLM_BUILD_PIPELINE= VLLM_BUILD_URL= VLLM_IMAGE_TAG= torch_cuda_arch_list=12.0+PTX MOONCAKE_WHEEL_AARCH64= MOONCAKE_WHEEL_X86_64= /bin/sh -c if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         if [ "$TARGETPLATFORM" = "linux/arm64" ]; then             WHEEL="${MOONCAKE_WHEEL_AARCH64}";         else             WHEEL="${MOONCAKE_WHEEL_X86_64}";         fi &&         if [ -n "${WHEEL}" ]; then             uv pip install --system "${WHEEL}" &&             CUDA_MAJOR="${CUDA_VERSION%%.*}" &&             if [ ! -f /usr/local/cuda/lib64/libcudart.so ] &&                [ -f "/usr/local/cuda/lib64/libcudart.so.${CUDA_MAJOR}" ]; then                 ln -s "libcudart.so.${CUDA_MAJOR}" /usr/local/cuda/lib64/libcudart.so;             fi;         fi;     fi # buildkit
                        
# 2026-07-15 07:45:55  0.00B 定义构建参数
ARG MOONCAKE_WHEEL_X86_64
                        
# 2026-07-15 07:45:55  0.00B 定义构建参数
ARG MOONCAKE_WHEEL_AARCH64
                        
# 2026-07-15 07:45:55  0.00B 执行命令并创建新的镜像层
RUN |27 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= INSTALL_KV_CONNECTORS=false VLLM_BUILD_COMMIT= VLLM_BUILD_PIPELINE= VLLM_BUILD_URL= VLLM_IMAGE_TAG= torch_cuda_arch_list=12.0+PTX /bin/sh -c CUDA_MAJOR="${CUDA_VERSION%%.*}";     CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-');     CUDA_HOME=/usr/local/cuda;     BUILD_PKGS="libcusparse-dev-${CUDA_VERSION_DASH}                 libcublas-dev-${CUDA_VERSION_DASH}                 libcusolver-dev-${CUDA_VERSION_DASH}";     if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then         uv pip install --system -r /tmp/kv_connectors.txt --no-build || (             apt-get update -y &&             apt-get install -y --no-install-recommends --allow-change-held-packages ${BUILD_PKGS} &&             uv pip install --system -r /tmp/kv_connectors.txt --no-build-isolation &&             apt-get purge -y ${BUILD_PKGS} &&             rm -rf /var/lib/apt/lists/*         );         uv pip install --system --force-reinstall --no-deps nixl-cu${CUDA_MAJOR};     fi # buildkit
                        
# 2026-07-15 07:45:54  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=12.0+PTX
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG torch_cuda_arch_list=12.0+PTX
                        
# 2026-07-15 07:45:54  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL=
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL=
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG VLLM_IMAGE_TAG
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG VLLM_BUILD_URL
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG VLLM_BUILD_PIPELINE
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG VLLM_BUILD_COMMIT
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.2
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG INSTALL_KV_CONNECTORS=false
                        
# 2026-07-15 07:45:54  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/arm64
                        
# 2026-07-15 07:45:54  35.09KB 复制新文件或目录到容器中
COPY ./vllm/collect_env.py . # buildkit
                        
# 2026-07-15 07:45:54  1.09MB 复制新文件或目录到容器中
COPY benchmarks benchmarks # buildkit
                        
# 2026-07-15 07:45:54  1.32MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2026-07-15 07:45:54  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-07-15 07:45:54  194.02MB 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then         CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') &&         if [ -n "$CUTLASS_DSL_VERSION" ]; then             uv pip install --system --force-reinstall --no-deps                 "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}";         fi;     fi # buildkit
                        
# 2026-07-15 07:45:54  27.38MB 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c uv pip install --system ep_kernels/dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
                        
# 2026-07-15 07:45:54  149.00B 复制新文件或目录到容器中
COPY /tmp/ep_kernels_workspace/dist/wheels.sha256 /tmp/ep-kernels-wheels.sha256 # buildkit
                        
# 2026-07-15 07:45:54  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2026-07-15 07:45:54  0.00B 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c . /etc/environment && uv pip list # buildkit
                        
# 2026-07-15 07:45:54  1.76GB 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 PIP_INDEX_URL= UV_INDEX_URL= PIP_EXTRA_INDEX_URL= UV_EXTRA_INDEX_URL= PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled PYTORCH_NIGHTLY= /bin/sh -c if [ "${PYTORCH_NIGHTLY}" = "1" ]; then         echo "Installing torch nightly..."         && uv pip install --system $(cat torch_lib_versions.txt | xargs) --pre         --index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/nightly/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')         && echo "Installing vLLM..."         && uv pip install --system dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/nightly/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.');     else         echo "Installing vLLM..."         && uv pip install --system dist/*.whl --verbose         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.');     fi # buildkit
                        
# 2026-07-15 07:45:49  137.00B 复制新文件或目录到容器中
COPY /workspace/dist/wheel.sha256 /tmp/vllm-wheel.sha256 # buildkit
                        
# 2026-07-15 07:00:25  71.00B 复制新文件或目录到容器中
COPY /workspace/torch_lib_versions.txt torch_lib_versions.txt # buildkit
                        
# 2026-07-15 07:00:25  0.00B 定义构建参数
ARG PYTORCH_NIGHTLY
                        
# 2026-07-15 07:00:25  0.00B 定义构建参数
ARG PIP_KEYRING_PROVIDER=disabled UV_KEYRING_PROVIDER=disabled
                        
# 2026-07-15 07:00:25  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl
                        
# 2026-07-15 07:00:25  0.00B 定义构建参数
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL=
                        
# 2026-07-15 07:00:25  0.00B 定义构建参数
ARG PIP_INDEX_URL UV_INDEX_URL=
                        
# 2026-07-15 07:00:25  577.41MB 执行命令并创建新的镜像层
RUN |14 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 BITSANDBYTES_VERSION_X86=0.46.1 BITSANDBYTES_VERSION_ARM64=0.42.0 TIMM_VERSION=>=1.0.17 RUNAI_MODEL_STREAMER_VERSION=>=0.15.7 /bin/sh -c if [ "$TARGETPLATFORM" = "linux/arm64" ]; then         BITSANDBYTES_VERSION="${BITSANDBYTES_VERSION_ARM64}";     else         BITSANDBYTES_VERSION="${BITSANDBYTES_VERSION_X86}";     fi;     uv pip install --system accelerate 'modelscope<1.38'         "bitsandbytes>=${BITSANDBYTES_VERSION}" "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}" # buildkit
                        
# 2026-07-15 07:00:21  0.00B 定义构建参数
ARG RUNAI_MODEL_STREAMER_VERSION=>=0.15.7
                        
# 2026-07-15 07:00:21  0.00B 定义构建参数
ARG TIMM_VERSION=>=1.0.17
                        
# 2026-07-15 07:00:21  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_ARM64=0.42.0
                        
# 2026-07-15 07:00:21  0.00B 定义构建参数
ARG BITSANDBYTES_VERSION_X86=0.46.1
                        
# 2026-07-15 07:00:21  2.41MB 执行命令并创建新的镜像层
RUN |10 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 GDRCOPY_CUDA_VERSION=12.8 GDRCOPY_OS_VERSION=Ubuntu22_04 TARGETPLATFORM=linux/arm64 /bin/sh -c set -eux;     case "${TARGETPLATFORM}" in       linux/arm64) UUARCH="aarch64" ;;       linux/amd64) UUARCH="x64" ;;       *) echo "Unsupported TARGETPLATFORM: ${TARGETPLATFORM}" >&2; exit 1 ;;     esac;     /tmp/install_gdrcopy.sh "${GDRCOPY_OS_VERSION}" "${GDRCOPY_CUDA_VERSION}" "${UUARCH}" &&     rm /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-07-15 07:00:15  1.44KB 复制新文件或目录到容器中
COPY tools/install_gdrcopy.sh /tmp/install_gdrcopy.sh # buildkit
                        
# 2026-07-15 07:00:15  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/arm64
                        
# 2026-07-15 07:00:15  0.00B 定义构建参数
ARG GDRCOPY_OS_VERSION=Ubuntu22_04
                        
# 2026-07-15 07:00:15  0.00B 定义构建参数
ARG GDRCOPY_CUDA_VERSION=12.8
                        
# 2026-07-15 07:00:15  2.31GB 执行命令并创建新的镜像层
RUN |7 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl FLASHINFER_VERSION=0.6.13 /bin/sh -c uv pip install --system flashinfer-jit-cache==${FLASHINFER_VERSION}         --index-url https://flashinfer.ai/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') # buildkit
                        
# 2026-07-15 06:58:40  0.00B 定义构建参数
ARG FLASHINFER_VERSION=0.6.13
                        
# 2026-07-15 06:58:40  8.49GB 执行命令并创建新的镜像层
RUN |6 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl /bin/sh -c if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "12" ]; then         sed -i 's/^nvidia-cutlass-dsl\[cu13\]/nvidia-cutlass-dsl/' /tmp/requirements-cuda.txt;         sed -i 's/^humming-kernels\[cu13\]/humming-kernels[cu12]/' /tmp/requirements-cuda.txt;     fi &&     uv pip install --system -r /tmp/requirements-cuda.txt         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') &&     if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then         CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') &&         if [ -n "$CUTLASS_DSL_VERSION" ]; then             uv pip install --system --force-reinstall --no-deps                 "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}";         fi;     fi &&     rm /tmp/requirements-cuda.txt /tmp/common.txt # buildkit
                        
# 2026-07-15 06:58:03  985.00B 复制新文件或目录到容器中
COPY requirements/cuda.txt /tmp/requirements-cuda.txt # buildkit
                        
# 2026-07-15 06:58:03  3.23KB 复制新文件或目录到容器中
COPY requirements/common.txt /tmp/common.txt # buildkit
                        
# 2026-07-15 06:58:03  0.00B 定义构建参数
ARG PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 VLLM_ENABLE_CUDA_COMPATIBILITY
ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
                        
# 2026-07-15 06:58:03  3.69KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c chmod 0755 /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
                        
# 2026-07-15 06:58:03  3.69KB 复制新文件或目录到容器中
COPY docker/entrypoints/vllm-nonroot-entrypoint.sh /usr/local/bin/vllm-nonroot-entrypoint.sh # buildkit
                        
# 2026-07-15 06:58:03  665.72KB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c useradd --uid 2000 --gid 0 --create-home --home-dir /home/vllm         --shell /bin/bash vllm     && mkdir -p /home/vllm/.cache /home/vllm/.config     && chown -R 2000:0 /home/vllm     && chmod -R g+rwX /home/vllm     && chgrp 0 /etc/passwd /etc/group     && chmod g=u /etc/passwd /etc/group # buildkit
                        
# 2026-07-15 06:58:03  0.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c mkdir -p "${UV_PYTHON_INSTALL_DIR}" "${UV_CACHE_DIR}"     && chgrp -R 0 /opt/uv     && chmod -R g+rwX,a+rX /opt/uv # buildkit
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/opt/uv/cache
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 UV_PYTHON_INSTALL_DIR
ENV UV_PYTHON_INSTALL_DIR=/opt/uv/python
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 UV_INDEX_STRATEGY
ENV UV_INDEX_STRATEGY=unsafe-best-match
                        
# 2026-07-15 06:58:03  0.00B 设置环境变量 UV_HTTP_TIMEOUT
ENV UV_HTTP_TIMEOUT=500
                        
# 2026-07-15 06:58:03  84.10MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c python3 -m pip install uv # buildkit
                        
# 2026-07-15 06:58:01  3.04GB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c CUDA_VERSION_DASH=$(echo $CUDA_VERSION | cut -d. -f1,2 | tr '.' '-') &&     CUDA_VERSION_SHORT=$(echo $CUDA_VERSION | cut -d. -f1,2) &&     apt-get update -y &&     apt-get install -y --no-install-recommends --allow-change-held-packages         cuda-nvcc-${CUDA_VERSION_DASH}         cuda-cudart-${CUDA_VERSION_DASH}         cuda-nvrtc-${CUDA_VERSION_DASH}         cuda-cuobjdump-${CUDA_VERSION_DASH}         libcurand-dev-${CUDA_VERSION_DASH}         libcublas-dev-${CUDA_VERSION_DASH}         libnuma-dev         numactl &&     NCCL_VER=$(apt-cache madison libnccl-dev | grep "+cuda${CUDA_VERSION_SHORT}" | head -1 | awk -F'|' '{gsub(/^ +| +$/, "", $2); print $2}') &&     apt-get install -y --no-install-recommends --allow-change-held-packages libnccl-dev=${NCCL_VER} libnccl2=${NCCL_VER} &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-15 06:56:54  575.54MB 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c apt-get update -y     && apt-get install -y --no-install-recommends         software-properties-common         curl         sudo         ffmpeg         libsm6         libxext6         libgl1     && if [ ! -z ${DEADSNAKES_MIRROR_URL} ] ; then         if [ ! -z "${DEADSNAKES_GPGKEY_URL}" ] ; then             mkdir -p -m 0755 /etc/apt/keyrings ;             curl -L ${DEADSNAKES_GPGKEY_URL} | gpg --dearmor > /etc/apt/keyrings/deadsnakes.gpg ;             sudo chmod 644 /etc/apt/keyrings/deadsnakes.gpg ;             echo "deb [signed-by=/etc/apt/keyrings/deadsnakes.gpg] ${DEADSNAKES_MIRROR_URL} $(lsb_release -cs) main" > /etc/apt/sources.list.d/deadsnakes.list ;         fi ;     else         for i in 1 2 3; do             add-apt-repository -y ppa:deadsnakes/ppa && break ||             { echo "Attempt $i failed, retrying in 5s..."; sleep 5; };         done ;     fi     && apt-get update -y     && apt-get install -y --no-install-recommends         python${PYTHON_VERSION}         python${PYTHON_VERSION}-dev         python${PYTHON_VERSION}-venv         libibverbs-dev     && rm -rf /var/lib/apt/lists/*     && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1     && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION}     && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config     && rm -f /usr/lib/python${PYTHON_VERSION}/EXTERNALLY-MANAGED     && curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION}     && python3 --version && python3 -m pip --version # buildkit
                        
# 2026-07-15 06:55:52  136.00B 执行命令并创建新的镜像层
RUN |5 CUDA_VERSION=13.0.2 PYTHON_VERSION=3.12 DEADSNAKES_MIRROR_URL= DEADSNAKES_GPGKEY_URL= GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py /bin/sh -c PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') &&     echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment # buildkit
                        
# 2026-07-15 06:55:52  0.00B 设置工作目录为/vllm-workspace
WORKDIR /vllm-workspace
                        
# 2026-07-15 06:55:52  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-07-15 06:55:52  0.00B 定义构建参数
ARG GET_PIP_URL=https://bootstrap.pypa.io/get-pip.py
                        
# 2026-07-15 06:55:52  0.00B 定义构建参数
ARG DEADSNAKES_GPGKEY_URL
                        
# 2026-07-15 06:55:52  0.00B 定义构建参数
ARG DEADSNAKES_MIRROR_URL
                        
# 2026-07-15 06:55:52  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2026-07-15 06:55:52  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.2
                        
# 2025-10-11 00:51:55  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-10-11 00:51:55  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-10-11 00:51:55  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-10-11 00:51:55  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
                        
# 2025-10-11 00:51:55  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
                        
# 2025-10-11 00:51:55  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-10-11 00:51:55  303.51MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-11 00:50:55  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.2
                        
# 2025-10-11 00:50:55  10.21MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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/ubuntu2204/${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
                        
# 2025-10-11 00:50:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-10-11 00:50:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-10-11 00:50:55  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.96-1
                        
# 2025-10-11 00:50:55  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 brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=13.0 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>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 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>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2025-10-11 00:50:55  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2025-10-01 15:16:12  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 15:16:12  69.35MB 
/bin/sh -c #(nop) ADD file:7a71c1d52054f8e04c815eaec639d14adaaa62346860f4003201834430b7ff18 in / 
                        
# 2025-10-01 15:16:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-01 15:16:10  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 15:16:10  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 15:16:10  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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}

更多版本

ghcr.io/anemll/dspark-vllm-gx10:0.1.1

linux/arm64 ghcr.io18.80GB2026-08-12 00:31
15
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