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ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest
linux/amd64 ghcr.io

该Docker镜像基于DeepSeek V4 Flash模型构建,集成sglang框架以支持高效LLM推理,适配4块RTX Pro 6000显卡的硬件配置,镜像版本相关日期标识为0731。

17
浏览次数
31.04GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest
源镜像
ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest
镜像ID
sha256:bbdb318a7124a7e37a6022df2240147bb3133cc34720f8c4b8a4af7086bc4074
镜像 TAG
latest
镜像大小
31.04GB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
/bin/bash
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/sgl-workspace/sglang
OS/平台
linux/amd64
镜像创建
2026-08-09T04:51:51.272879911Z
同步时间
2026-08-30 01:38
浏览量
17 次
贡献者
⚙️ 环境变量 49
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin 0
NVARCH=x86_64 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=13.0.88-1 3
CUDA_VERSION=13.0.1 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=13.0.1-1 8
NV_NVTX_VERSION=13.0.85-1 9
NV_LIBNPP_VERSION=13.0.1.2-1 10
NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1 11
NV_LIBCUSPARSE_VERSION=12.6.3.3-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0 13
NV_LIBCUBLAS_VERSION=13.0.2.14-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1 17
NCCL_VERSION=2.28.3-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDA_CUDART_DEV_VERSION=13.0.88-1 21
NV_NVML_DEV_VERSION=13.0.87-1 22
NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1 23
NV_LIBNPP_DEV_VERSION=13.0.1.2-1 24
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1 25
NV_LIBCUBLAS_DEV_VERSION=13.0.2.14-1 26
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0 27
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1 28
NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1 29
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.1-1 30
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 31
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1 32
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0 33
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 34
NV_CUDNN_VERSION=9.13.0.50-1 35
NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13 36
NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1 37
NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1 38
NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1 39
DEBIAN_FRONTEND=noninteractive 40
CUDA_HOME=/usr/local/cuda 41
GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/ 42
LANG=en_US.UTF-8 43
LANGUAGE=en_US:en 44
LC_ALL=en_US.UTF-8 45
SGLANG_BUILD_COMMIT=fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 46
SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/30124153098 47
SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.16-runtime 48
🏷️ 镜像标签 10
KeyValue
fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 ai.sglang.build.commit
https://github.com/sgl-project/sglang/actions/runs/30124153098 ai.sglang.build.url
lmsysorg/sglang:v0.5.16-runtime ai.sglang.image.tag
9.13.0.50-1 com.nvidia.cudnn.version
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 org.opencontainers.image.revision
https://github.com/sgl-project/sglang org.opencontainers.image.source
https://github.com/sgl-project/sglang/actions/runs/30124153098 org.opencontainers.image.url
lmsysorg/sglang:v0.5.16-runtime org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-08-30 01:43 查看完整报告
234
低危 LOW
2007
中危 MEDIUM
190
高危 HIGH
7
严重 CRITICAL
受影响目标 (5)
ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest (ubuntu 24.04) ubuntu Python python-pkg opt/nvidia/nsight-compute/2025.3.1/host/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary sgl-workspace/sglang/rust/sglang-grpc/Cargo.lock cargo sgl-workspace/sglang/rust/sglang-mm/Cargo.lock cargo

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest  ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest  ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest

Shell快速替换命令

sed -i 's#ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest#' 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/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest  ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest  ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest'

镜像构建历史


# 2026-08-09 12:51:51  30.23MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir sgl-deep-gemm==0.1.5.post1     && python3 -c "import importlib.metadata as md, deep_gemm; v=md.version('sgl-deep-gemm'); assert v=='0.1.5.post1', v; print('sgl-deep-gemm', v)"     && python3 -c "import flashinfer; v=flashinfer.__version__; assert v=='0.6.15.post1', v; print('flashinfer still', v)" # buildkit
                        
# 2026-08-09 12:51:44  4.88GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir         "https://github.com/flashinfer-ai/flashinfer/releases/download/v0.6.15.post1/flashinfer_python-0.6.15.post1-py3-none-any.whl"         "https://github.com/flashinfer-ai/flashinfer/releases/download/v0.6.15.post1/flashinfer_cubin-0.6.15.post1-py3-none-any.whl"         "https://github.com/flashinfer-ai/flashinfer/releases/download/v0.6.15.post1/flashinfer_jit_cache-0.6.15.post1%2Bcu130-cp39-abi3-manylinux_2_28_x86_64.whl"     && python3 -c "import flashinfer; print('flashinfer', flashinfer.__version__)" # buildkit
                        
# 2026-08-09 12:50:58  2.23MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd /sgl-workspace/sglang     && git apply --verbose /tmp/patches/pr32332-notest.diff     && git apply --verbose /tmp/patches/pr32167-notest.diff     && git apply --verbose /tmp/patches/pr31009-notest.diff     && git apply --verbose /tmp/patches/dspark-sm120-decode-dispatch.diff     && git apply --verbose /tmp/patches/pr32320-notest.diff     && git apply --verbose /tmp/patches/pr33098-notest.diff     && git apply --verbose /tmp/patches/pr32467-notest.diff     && git apply --verbose /tmp/patches/pr32183-notest.diff     && git apply --verbose /tmp/patches/pr33531-notest.diff     && git apply --verbose /tmp/patches/dsv4-store-padding-guard.diff     && git apply --verbose /tmp/patches/pr31017-notest.diff     && git apply --verbose /tmp/patches/pr32277-notest.diff     && git apply --verbose /tmp/patches/pr32183-hipradix-completion.diff     && git apply --verbose /tmp/patches/dsv4-streaming-preamble-fix.diff     && git apply --verbose /tmp/patches/dsv4-c4-ring-depth-scale.diff     && git apply --verbose /tmp/patches/pr29927-notest.diff     && git apply --verbose /tmp/patches/pr31170-notest.diff     && git apply --verbose /tmp/patches/pr31835-notest.diff     && git apply --verbose /tmp/patches/pr32880-notest.diff     && git apply --verbose /tmp/patches/pr27199-notest.diff     && git apply --verbose /tmp/patches/dsv4-compact-gamma-runtime.diff     && git apply --verbose /tmp/patches/pr33805-notest.diff     && git apply --verbose /tmp/patches/pr33795-notest.diff     && git apply --verbose /tmp/patches/pr32379-notest.diff     && git apply --verbose /tmp/patches/pr32700-notest.diff     && git apply --verbose /tmp/patches/pr31975-notest.diff     && git apply --verbose /tmp/patches/pr33568-notest.diff     && git apply --verbose /tmp/patches/pr32686-notest.diff     && git apply --verbose /tmp/patches/pr30096-family-notest.diff     && git apply --verbose /tmp/patches/pr33459-notest.diff     && git apply --verbose /tmp/patches/dspark-return-logprob.diff     && git apply --verbose /tmp/patches/dsv4-spec-scaling-penalties.diff     && git apply --verbose /tmp/patches/dsv4-prefix-affinity-skew-by-requests.diff     && python3 -c "import ast; [ast.parse(open(f).read()) for f in ('python/sglang/srt/function_call/deepseekv32_detector.py','python/sglang/srt/function_call/base_format_detector.py','python/sglang/srt/entrypoints/openai/serving_chat.py','python/sglang/srt/parser/reasoning_parser.py','python/sglang/kernels/ops/attention/flash_mla_sm120.py','python/sglang/srt/speculative/dspark_components/dspark_draft.py','python/sglang/jit_kernel/dsv4/compress.py','python/sglang/srt/layers/attention/deepseek_v4_backend.py','python/sglang/srt/layers/attention/deepseek_v4_backend_hip_radix.py','python/sglang/srt/layers/attention/dsv4/compressor_v2.py','python/sglang/srt/layers/attention/dsv4/indexer.py','python/sglang/srt/layers/attention/dsv4/metadata.py','python/sglang/srt/speculative/dflash_utils.py','python/sglang/srt/speculative/dspark_components/dspark_verify.py','python/sglang/srt/speculative/spec_utils.py','python/sglang/srt/layers/moe/topk.py','python/sglang/kernels/ops/layernorm/mhc.py','python/sglang/srt/layers/deep_gemm_wrapper/configurer.py','python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py','python/sglang/srt/layers/moe/moe_runner/deep_gemm.py','python/sglang/srt/model_loader/utils.py','python/sglang/srt/models/deepseek_v4.py','python/sglang/srt/models/deepseek_v4_dspark.py','python/sglang/srt/server_args.py','python/sglang/srt/managers/data_parallel_controller.py','python/sglang/srt/managers/schedule_policy.py','python/sglang/srt/managers/prefill_delayer.py','python/sglang/srt/managers/scheduler.py','python/sglang/srt/managers/io_struct.py','python/sglang/srt/constrained/base_grammar_backend.py','python/sglang/srt/model_executor/model_runner.py','python/sglang/srt/sampling/sampling_batch_info.py','python/sglang/srt/speculative/dflash_worker_v2.py','python/sglang/srt/speculative/dspark_components/dspark_worker_v2.py','python/sglang/srt/speculative/eagle_info.py','python/sglang/srt/speculative/eagle_utils.py','python/sglang/srt/speculative/eagle_worker_common.py','python/sglang/srt/speculative/ngram_info.py','python/sglang/srt/speculative/ngram_worker.py','python/sglang/srt/speculative/spec_info.py','python/sglang/srt/layers/logprob_processor.py')]; print('all patched files parse OK')" # buildkit
                        
# 2026-08-09 12:50:58  188.44KB 复制新文件或目录到容器中
COPY patches/*.diff /tmp/patches/ # buildkit
                        
# 2026-07-25 06:39:44  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2026-07-25 06:39:44  0.00B 添加元数据标签
LABEL org.opencontainers.image.source=https://github.com/sgl-project/sglang org.opencontainers.image.revision=fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 org.opencontainers.image.version=lmsysorg/sglang:v0.5.16-runtime org.opencontainers.image.url=https://github.com/sgl-project/sglang/actions/runs/30124153098 ai.sglang.build.commit=fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 ai.sglang.build.url=https://github.com/sgl-project/sglang/actions/runs/30124153098 ai.sglang.image.tag=lmsysorg/sglang:v0.5.16-runtime
                        
# 2026-07-25 06:39:44  0.00B 设置环境变量 SGLANG_BUILD_COMMIT SGLANG_BUILD_URL SGLANG_IMAGE_TAG
ENV SGLANG_BUILD_COMMIT=fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1 SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/30124153098 SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.16-runtime
                        
# 2026-07-25 06:39:44  0.00B 定义构建参数
ARG SGLANG_IMAGE_TAG=lmsysorg/sglang:v0.5.16-runtime
                        
# 2026-07-25 06:39:44  0.00B 定义构建参数
ARG SGLANG_BUILD_URL=https://github.com/sgl-project/sglang/actions/runs/30124153098
                        
# 2026-07-25 06:39:44  0.00B 定义构建参数
ARG SGLANG_BUILD_COMMIT=fdebc938f7f4d16fe6b9f55dcd9a767cf0899ea1
                        
# 2026-07-25 06:39:44  0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
                        
# 2026-07-25 06:39:44  38.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c ln -sf /usr/lib/$(uname -m)-linux-gnu/libmlx5.so.1 /usr/lib/$(uname -m)-linux-gnu/libmlx5.so # buildkit
                        
# 2026-07-25 06:39:44  79.61KB 复制新文件或目录到容器中
COPY /usr/src/gdrdrv-2.5.1 /usr/src/gdrdrv-2.5.1 # buildkit
                        
# 2026-07-25 06:39:44  1.18MB 复制新文件或目录到容器中
COPY /usr/bin/gdrcopy_* /usr/bin/ # buildkit
                        
# 2026-07-25 06:39:44  0.00B 复制新文件或目录到容器中
COPY /usr/lib/libgdrapi.so* /usr/lib/ # buildkit
                        
# 2026-07-25 06:39:44  873.00B 复制新文件或目录到容器中
COPY /root/.cache/sglang /root/.cache/sglang # buildkit
                        
# 2026-07-25 06:39:44  919.56MB 复制新文件或目录到容器中
COPY /root/.cache/huggingface /root/.cache/huggingface # buildkit
                        
# 2026-07-25 06:39:42  8.08MB 复制新文件或目录到容器中
COPY /usr/local/bin/py-spy /usr/local/bin/py-spy # buildkit
                        
# 2026-07-25 06:39:42  162.00B 复制新文件或目录到容器中
COPY /usr/local/bin/sglang /usr/local/bin/sglang # buildkit
                        
# 2026-07-25 06:39:42  42.47MB 复制新文件或目录到容器中
COPY /usr/local/bin/sgl-model-gateway /usr/local/bin/sgl-model-gateway # buildkit
                        
# 2026-07-25 06:39:42  1.51GB 复制新文件或目录到容器中
COPY /sgl-workspace /sgl-workspace # buildkit
                        
# 2026-07-25 06:39:38  14.40GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages /usr/local/lib/python3.12/dist-packages # buildkit
                        
# 2026-07-25 06:20:16  28.82MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --only-upgrade     binutils binutils-common binutils-x86-64-linux-gnu libbinutils     libctf0 libctf-nobfd0 libgprofng0 libsframe1     libgnutls30t64     libpam-modules libpam-modules-bin libpam-runtime libpam0g     libsqlite3-0 libtasn1-6     dpkg dpkg-dev libdpkg-perl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-25 06:20:11  0.00B 设置环境变量 LANG LANGUAGE LC_ALL
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8
                        
# 2026-07-25 06:20:11  50.41MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends locales     && locale-gen en_US.UTF-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-07-25 06:20:00  1.26GB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=13.0.1 TARGETARCH=amd64 GDRCOPY_VERSION=2.5.1 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends --allow-change-held-packages     python3.12-full     python3.12-dev     wget     ca-certificates     netcat-openbsd     curl     git     libopenmpi3     libnuma1     libibverbs1     libibumad3     librdmacm1     libnl-3-200     libnl-route-3-200     ibverbs-providers     libgoogle-glog0v6t64     libunwind8     libboost-system1.83.0     libboost-thread1.83.0     libboost-filesystem1.83.0     libgrpc++1.51t64     libprotobuf32t64     libhiredis1.1.0     libcurl4     libczmq4     libfabric1     libssl-dev     rdma-core     infiniband-diags     perftest     ninja-build     libnccl2     libnccl-dev     gnupg2     linux-libc-dev     && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 2     && update-alternatives --set python3 /usr/bin/python3.12     && ln -sf /usr/bin/python3.12 /usr/bin/python     && wget -q https://bootstrap.pypa.io/get-pip.py     && python3 get-pip.py --break-system-packages     && rm get-pip.py     && python3 -m pip config set global.break-system-packages true     && rm -rf /var/lib/apt/lists/*     && apt-get clean # buildkit
                        
# 2026-07-25 06:20:00  0.00B 设置环境变量 PATH LD_LIBRARY_PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/cuda/nvvm/bin LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-07-25 06:20:00  0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.5.1/
                        
# 2026-07-25 06:20:00  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2026-07-25 06:20:00  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-07-25 06:20:00  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1
                        
# 2025-09-09 01:30:50  461.65MB 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
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:30:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV_HEADERS
ENV NV_CUDNN_PACKAGE_DEV_HEADERS=libcudnn9-headers-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-13=9.13.0.50-1
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-13
                        
# 2025-09-09 01:30:50  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.13.0.50-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-09-09 01:29:51  392.24KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2025-09-09 01:29:51  4.92GB 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-13-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-0=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-0=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 01:29:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 01:29:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.1-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.1-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.2.14-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.0.2.14-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.1.2-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.1.2-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.3.3-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.87-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.88-1
                        
# 2025-09-09 01:29:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:36:59  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-09-09 00:36:59  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-09-09 00:36:59  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-09-09 00:36:59  240.06KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2025-09-09 00:36:59  2.12GB 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-13-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-0=${NV_NVTX_VERSION}     libcusparse-13-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:36:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:36:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-09-09 00:25:14  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-09-09 00:25:14  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
                        
# 2025-09-09 00:25:14  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
                        
# 2025-09-09 00:25:14  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
                        
# 2025-09-09 00:25:14  322.86MB 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-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
                        
# 2025-09-09 00:23:24  10.26MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:23:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
                        
# 2025-09-09 00:23:24  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
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-08-19 22:37:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-19 22:37:00  78.12MB 
/bin/sh -c #(nop) ADD file:e67907c77897d27192314f6c4fa0112b6f7dce3e127500516535cc50fe736c92 in / 
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000@sha256:340d62a0c683a2e4b175718c600d59c93384c1821c7e2f588252ccbf060ceb5c"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-08-09T04:51:51.272879911Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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}

更多版本

ghcr.io/ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000:latest

linux/amd64 ghcr.io31.04GB2026-08-30 01:38
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