NVIDIA
NVIDIA
TensorRT LLM Develop
Container
NVIDIA
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:ec922c2539409fb6adbf116206a26b9e4cc92a088f873c46f1986d460e7fb29bRUN
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=1.3.0rc3 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" &&
  rm /tmp/generate_container_oss_attribution.sh
02/08/2026 3:31 PM UTC
sha256:d17de20138ad58ec051e079d6ce06181adb1346a2b246d6c71702bcf6dcbc596COPY
scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh
02/08/2026 3:31 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
02/08/2026 3:31 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.3.0rc3
02/08/2026 3:31 PM UTC
sha256:a3d7e8a023d3a24b00d7a732b5de9fd2824036c09afc685e9addeb7d74325b54RUN
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 &&
  rm -rf /root/.cache/pip &&
  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-0.45.1.dist-info
02/08/2026 3:31 PM UTC
sha256:0674b353a646f2e62cfb7ec116798e5502eeebf7198f8200a0f458119a96ed97RUN
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 uninstall -y nbconvert ||
  true
02/08/2026 3:06 PM UTC
sha256:546ae932721f0281843b7bd880435d496d48abf4a80381cfd9c29eeb68247dddRUN
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
02/08/2026 3:06 PM UTC
sha256:508b80b18e820080d7f6273639ee63724367a0e46af9ce2a6ec1d037043c1948COPY
constraints.txt /tmp/constraints.txt
02/08/2026 3:06 PM UTC
sha256:ed54174f7f4c698ebe29350c93a8f09d1230b9b4e39512b1f33029815cec936aRUN
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
02/08/2026 3:06 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TORCH_INSTALL_TYPE=skip
02/08/2026 2:59 PM UTC
...

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.