NVIDIA
NVIDIA
TensorRT LLM Develop
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NVIDIA
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
    sha256:6851a189f936a471e46d10ad1269c78d163348f8f4637172389261f40155239dRUN
    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=1.3.0rc0 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" &&
      rm /tmp/generate_container_oss_attribution.sh
    01/18/2026 7:48 AM UTC
    sha256:bcbea9a55e92004c8e4aee22057f1e12e76fbd89c5863e0c9847929522e970dcCOPY
    scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh
    01/18/2026 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    01/18/2026 7:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.3.0rc0
    01/18/2026 7:48 AM UTC
    sha256:8cc25ff9876312448937428c389ccbafab78747c2f1b92be91ed1a01b3603fabRUN
    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
    01/18/2026 7:48 AM UTC
    sha256:c0a9ac4ac085b4a9465bcc53c4ac0590a28e360a6ec0fb9e6112559e1bc59503RUN
    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
    01/18/2026 7:45 AM UTC
    sha256:e8f6b722433a529eb94e9291efdc20b992d1016395d5ccd86b12e3d485ee4b6aCOPY
    constraints.txt /tmp/constraints.txt
    01/18/2026 7:45 AM UTC
    sha256:f5397bd3d502d82a450ab3d5c2a616f763bd87cf99a8a5ad4d374aae8752182dRUN
    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
    01/18/2026 7:45 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TORCH_INSTALL_TYPE=skip
    01/18/2026 7:42 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUBLAS_VER
    01/18/2026 7:42 AM UTC
    ...

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