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  • NVIDIA
    TensorRT LLM Develop
    Container
    NVIDIA
    TensorRT LLM Develop

    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

  • LayerLabelCreated
    sha256:01e4b5c65825a8657b7b7d3244c4c6bb8d015c2a5e0b9d6ad643e1bf639cedcbRUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip TRT_LLM_VER=1.2.0rc6.post1 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" &&
  rm /tmp/generate_container_oss_attribution.sh
    		01/07/2026 9:58 AM UTC
    sha256:b3d0a741a01e8c9ca93f5f0e38a0dd2b09bbd03825ae3faca44a0782123022eeCOPY
    scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh
    		01/07/2026 9:58 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    		01/07/2026 9:58 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.2.0rc6.post1
    		01/07/2026 9:58 AM UTC
    sha256:f3578ba8678c0e6e37958be005ab3d6064c6327ad34a4fd3b7948d2beaea3d8dRUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_ucx.sh &&
  GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_nixl.sh &&
  bash ./install_etcd.sh &&
  rm install_ucx.sh &&
  rm install_nixl.sh &&
  rm install_etcd.sh
    		01/07/2026 9:58 AM UTC
    sha256:5555fbbc29ab45f9e6387801a678d17971623c32ee0757e64cb2055ab5c1b474RUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c pip3 install --no-cache-dir -r /tmp/constraints.txt &&
  rm /tmp/constraints.txt
    		01/07/2026 9:56 AM UTC
    sha256:ac32e9e42dd8dbd2ab9dd4917928ee5e58e9c1648d08c65b5a7d2c203c6e17adCOPY
    constraints.txt /tmp/constraints.txt
    		01/07/2026 9:55 AM UTC
    sha256:4d76f6d508f469762ca0d41b10e0e44237a33f6420698d4b3f2297a5288f3f8bRUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c GITHUB_MIRROR=${GITHUB_MIRROR} PYTHON_VERSION=${PYTHON_VERSION} TRT_VER=${TRT_VER} CUDA_VER=${CUDA_VER} CUDNN_VER=${CUDNN_VER} NCCL_VER=${NCCL_VER} CUBLAS_VER=${CUBLAS_VER} TORCH_INSTALL_TYPE=${TORCH_INSTALL_TYPE} bash ./install.sh --base --cmake --ccache --cuda_toolkit --tensorrt --polygraphy --mpi4py --pytorch --opencv &&
  rm install_base.sh &&
  rm install_cmake.sh &&
  rm install_ccache.sh &&
  rm install_cuda_toolkit.sh &&
  rm install_tensorrt.sh &&
  rm install_polygraphy.sh &&
  rm install_mpi4py.sh &&
  rm install_pytorch.sh &&
  rm install.sh
    		01/07/2026 9:55 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TORCH_INSTALL_TYPE=skip
    		01/07/2026 9:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUBLAS_VER
    		01/07/2026 9:48 AM UTC
    ...