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TensorRT LLM Develop
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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
    sha256:859135a575ee15c017f826606cbeca8ad80f84a747f77d5f36da1d539c9c629bRUN
    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.post2 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" &&
      rm /tmp/generate_container_oss_attribution.sh
    01/22/2026 5:54 AM UTC
    sha256:266846da99718d243e33fe771f309bee5c047164541bd29e068b99b365895aa1COPY
    scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh
    01/22/2026 5:54 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    01/22/2026 5:54 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.2.0rc6.post2
    01/22/2026 5:54 AM UTC
    sha256:1dd4b09b6916e2e23dc1948d533483fdd7632c1b67bb098385a67810bb59d710RUN
    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
    01/22/2026 5:54 AM UTC
    sha256:db4221003b45a373d28f1779b2430c6c4c7266734f947737c18cbacf853aaeffRUN
    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
    01/22/2026 5:51 AM UTC
    sha256:06e6b57b437c6421741c1688804fe1b313def55ed63bb2835691071653b763f6COPY
    constraints.txt /tmp/constraints.txt
    01/22/2026 5:48 AM UTC
    sha256:3e45ffc350add2d7f8029a9a3d59fef02308725ceffe7792de2a2312b50e3b77RUN
    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
    01/22/2026 5:48 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TORCH_INSTALL_TYPE=skip
    01/22/2026 5:44 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUBLAS_VER
    01/22/2026 5:44 AM UTC
    ...

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