Skip to main content
NVIDIA
TensorRT LLM Develop
Container
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
sha256:8bc9f0988c3753a29c99090557f5d0c9f4ef9ecf465b73d74eeb3b76092c6194RUN
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=0372799d1543ef5920c1318b829cf127800dbcb9 TRT_LLM_VER=1.4.0rc1 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/19/2026 5:11 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
10/19/2026 5:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=0372799d1543ef5920c1318b829cf127800dbcb9 TRT_LLM_VERSION=1.4.0rc1
10/19/2026 5:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/19/2026 5:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.4.0rc1
10/19/2026 5:11 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=0372799d1543ef5920c1318b829cf127800dbcb9
10/19/2026 5:11 AM UTC
sha256:8f8505e9b6f181000befe810f8061e79f6bc9047e0a8ffb4431fcc771644b811RUN
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
10/19/2026 5:11 AM UTC
sha256:073ddc45d010c5cce29e7481e936b276c144b372af208552f8b2df78b15d1042RUN
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 $(python3 -c "import site; print(site.getsitepackages()[0])")/nvidia_cutlass_dsl* &&
  pip3 install -r /tmp/constraints.txt &&
  rm /tmp/constraints.txt
10/19/2026 5:07 AM UTC
sha256:bef4e3b3d8a561cc14c964273b0e0dd42a7cd41dcdf68df2153dd1bd26c9e2aeCOPY
constraints.txt /tmp/constraints.txt
10/19/2026 5:07 AM UTC
sha256:6afaf42fefb486852b82634f01e46c696e8c7c8963802c08faf469d6750a3c1eRUN
SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip BASE_TAG=26.09-py3 CUDA_COMPAT_TAG=26.08-py3 /bin/bash -c if [ "${CUDA_COMPAT_TAG}" != "${BASE_TAG}" ]; then bash /opt/docker/common/install_cuda_compat.sh /tmp/cuda_compat_usr_local; fi
10/19/2026 5:07 AM UTC
1-10 of 199 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.