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TensorRT LLM Develop
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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
sha256:73f687c659a03aea011b1fb72c31b5ae0d486b51caa1f0daf3e979dcd64a9150RUN
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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip GIT_COMMIT=da676ffb8b611a1a0a83c862aa094e736f9fe5aa TRT_LLM_VER=1.4.0rc1.dev202610140007 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/14/2026 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
OMPI_ALLOW_RUN_AS_ROOT=1 OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1 PRTE_ALLOW_RUN_AS_ROOT=1 PRTE_ALLOW_RUN_AS_ROOT_CONFIRM=1
10/14/2026 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=da676ffb8b611a1a0a83c862aa094e736f9fe5aa TRT_LLM_VERSION=1.4.0rc1.dev202610140007
10/14/2026 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/14/2026 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.4.0rc1.dev202610140007
10/14/2026 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=da676ffb8b611a1a0a83c862aa094e736f9fe5aa
10/14/2026 12:26 AM UTC
sha256:4b45dbf2b932349eb3efa22d95b68f43e3125cd643415b0d45c0eb5e7f77421eRUN
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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c . /opt/docker/common/github_auth.sh &&
  GITHUB_MIRROR=${GITHUB_MIRROR} bash /opt/docker/common/install_ucx.sh &&
  GITHUB_MIRROR=${GITHUB_MIRROR} bash /opt/docker/common/install_nixl.sh &&
  bash /opt/docker/common/install_etcd.sh &&
  rm -rf /root/.cache/uv/archive-v0 &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-*.dist-info
10/14/2026 12:26 AM UTC
sha256:b639c06b3e3d7f7be8ed905e96886f1ccd87ee6eeb8292b1bf91a58f7084eecbRUN
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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c if [ -n "$GITHUB_MIRROR" ]; then export PIP_INDEX_URL="https://artifactory.pdx.nvidia.com/artifactory/api/pypi/pypi-remote/simple"; fi &&
  pip3 uninstall -y tornado black nbconvert pillow nvidia-cutlass-dsl nvidia-cutlass-dsl-libs-base nvidia-cutlass-dsl-libs-core nvidia-cutlass-dsl-libs-cu12 nvidia-cutlass-dsl-libs-cu13 wandb ||
  true &&
  rm -rf $(python3 -c "import site; print(site.getsitepackages()[0])")/nvidia_cutlass_dsl* &&
  pip3 install -r /tmp/constraints.txt &&
  rm /tmp/constraints.txt
10/14/2026 12:22 AM UTC
sha256:f474796d11558fb14f8e3644b96dc39d1256ff799905672945143c2612bcdfe3COPY
constraints.txt /tmp/constraints.txt
10/14/2026 12:22 AM UTC
sha256:280c8670fb702e5c863086a9cdaf7f830d822a0e5207deaef08e20de274a43d9RUN
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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c echo "Using GitHub mirror: ${GITHUB_MIRROR}" &&
  echo "Using Python version: ${PYTHON_VERSION}" &&
  . /opt/docker/common/github_auth.sh &&
  GITHUB_MIRROR=${GITHUB_MIRROR} PYTHON_VERSION=${PYTHON_VERSION} CUDA_VER=${CUDA_VER} CUDNN_VER=${CUDNN_VER} NCCL_VER=${NCCL_VER} CUBLAS_VER=${CUBLAS_VER} TORCH_INSTALL_TYPE=${TORCH_INSTALL_TYPE} bash /opt/docker/common/install.sh --base --cmake --ccache --cuda_toolkit --cuda_libs --polygraphy --mpi4py --pytorch
10/14/2026 12:22 AM UTC
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