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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
sha256:50d4240f394dd51cae6bf646a361461d6cc04ceb58820af2316a51efe2fa7154RUN
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=ee7c59aa78cf4f47c46528b79c8714fc4c526a54 TRT_LLM_VER=1.4.0rc1.dev202610201007 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/20/2026 10:28 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
10/20/2026 10:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=ee7c59aa78cf4f47c46528b79c8714fc4c526a54 TRT_LLM_VERSION=1.4.0rc1.dev202610201007
10/20/2026 10:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/20/2026 10:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.4.0rc1.dev202610201007
10/20/2026 10:28 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=ee7c59aa78cf4f47c46528b79c8714fc4c526a54
10/20/2026 10:28 AM UTC
sha256:7a868e530235e26a99b61a04425e747601510b99f93420076108d4749735aa70RUN
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
10/20/2026 10:28 AM UTC
sha256:d92602b7c9cf9dc29f0a9c300684f898cc6e9a88dfb44b6d959317d19949e165RUN
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 $(python3 -c "import site; print(site.getsitepackages()[0])")/nvidia_cutlass_dsl* &&
  pip3 install -r /tmp/constraints.txt &&
  rm /tmp/constraints.txt
10/20/2026 10:24 AM UTC
sha256:49c868fd834651e41d9dec0acbfb07f7c83309a8fe3afa58644eda0782c5331fCOPY
constraints.txt /tmp/constraints.txt
10/20/2026 10:24 AM UTC
sha256:44af475f4ff51a2fbf293eb81a77aac704f30b4e8468d0a4ebf51541c0290c28RUN
SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 /bin/bash -c if [ "${CUDA_COMPAT_TAG}" != "${BASE_TAG}" ]; then bash /opt/docker/common/install_cuda_compat.sh /tmp/cuda_compat_usr_local; fi
10/20/2026 10:24 AM UTC
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