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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
sha256:7852ea2a455e36696796e7e6aa5d6e0e3293ca9f903c2bfb7e3c0e23b13db9f2RUN
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=1.2.0rc6 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" &&
  rm /tmp/generate_container_oss_attribution.sh
12/15/2025 5:55 PM UTC
sha256:3cf52beda5e5ce9f2e315701fcb5e2123ba3e9c276c54a110a0165a17b67b7acCOPY
scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh
12/15/2025 5:55 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
12/15/2025 5:55 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.2.0rc6
12/15/2025 5:55 PM UTC
sha256:696c669679ceccc8e11b1cbb1dcc760f8977a3e15bba3ab8558af78c2ee7603bRUN
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
12/15/2025 5:55 PM UTC
sha256:9f5c89fdb1801438c4057f3e3743d05011abff40290eb99e1942176d7199f689RUN
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
12/15/2025 5:52 PM UTC
sha256:655e03b49f4cb390a9101e2feb1e28c41331cdc026f33bbe1641b4419eae84a8COPY
constraints.txt /tmp/constraints.txt
12/15/2025 5:52 PM UTC
sha256:bb0d833a34600dd1af738fa57b2757164e13d24238a1bfef36d8dece1ee7e178RUN
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
12/15/2025 5:52 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TORCH_INSTALL_TYPE=skip
12/15/2025 5:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
CUBLAS_VER
12/15/2025 5:44 PM UTC
...