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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
sha256:724795879a7ec162d97eecc5bea83b2fd7000be73aa70484cc5f8f480abcd7a5RUN
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 BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 GIT_COMMIT=8b2ac2d08ec53e4b61104c74bb02ce30ef0cfa93 TRT_LLM_VER=1.4.0rc1.dev202610180007 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/18/2026 12:25 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
10/18/2026 12:25 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=8b2ac2d08ec53e4b61104c74bb02ce30ef0cfa93 TRT_LLM_VERSION=1.4.0rc1.dev202610180007
10/18/2026 12:25 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/18/2026 12:25 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.4.0rc1.dev202610180007
10/18/2026 12:25 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=8b2ac2d08ec53e4b61104c74bb02ce30ef0cfa93
10/18/2026 12:25 AM UTC
sha256:2c1d92beba99408e1188ddce4a52a999622c9438d1ddddb203e1288df6268c2bRUN
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 BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 /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
10/18/2026 12:25 AM UTC
sha256:2f4bf61a846da0b8abd85325ec1e1b7bd861d042e755821aba1a482caecb0079RUN
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 BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 /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 $(python3 -c "import site; print(site.getsitepackages()[0])")/nvidia_cutlass_dsl* &&
  pip3 install -r /tmp/constraints.txt &&
  rm /tmp/constraints.txt
10/18/2026 12:20 AM UTC
sha256:6add5ce434859464d494922c5078d8ccbe64c4df6f0d49d14e71db1b4a618dc5COPY
constraints.txt /tmp/constraints.txt
10/18/2026 12:20 AM UTC
sha256:7fc2e324b5cd0bfe66a1286001182ebb3bc1a379b01225bbe327416ab4b27b19RUN
SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 /bin/bash -c if [ "${CUDA_COMPAT_TAG}" != "${BASE_TAG}" ]; then bash /opt/docker/common/install_cuda_compat.sh /tmp/cuda_compat_usr_local; fi
10/18/2026 12:20 AM UTC
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