NVIDIA
NVIDIA
TensorRT LLM Release
Container
NVIDIA
NVIDIA
TensorRT LLM Release

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:ed31597eee39fe345f325a915e7b46bc082e2af96f71db505cea42c2eddb0d07RUN
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote GIT_COMMIT=c0e6d795c8d4ce24cad191488a188669838683e0 TRT_LLM_VER=1.3.0rc25.dev2026081200 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
    08/12/2026 1:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TRT_LLM_GIT_COMMIT=c0e6d795c8d4ce24cad191488a188669838683e0 TRT_LLM_VERSION=1.3.0rc25.dev2026081200
    08/12/2026 1:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    08/12/2026 1:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.3.0rc25.dev2026081200
    08/12/2026 1:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    GIT_COMMIT=c0e6d795c8d4ce24cad191488a188669838683e0
    08/12/2026 1:27 AM UTC
    sha256:5bd27fe5cc1efac8d7d36984f28d54ec48cccfd03d271738ff9a6de1d4b3492dRUN
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote /bin/bash -c cp /mnt/ctx/README.md ./ &&
      cp -r /mnt/ctx/docs ./docs &&
      cp -r /mnt/ctx/include ./include &&
      cp -r /mnt/ctx/examples ./examples &&
      chmod -R a+w examples &&
      cp /mnt/wheel/tensorrt_llm*.whl ./ &&
      ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
      test -f lib/libtensorrt_llm.so &&
      echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
      ldconfig &&
      ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
      rm -rf /root/.cache/uv/archive-v0 &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
    08/12/2026 1:27 AM UTC
    sha256:92d4e69acc19f028a8a329da0ab507b4dc7f75dd06599bed071681441d5fcb7fRUN
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote /bin/bash -c if [ -n "$GITHUB_MIRROR" ]; then export PIP_INDEX_URL="https://urm.nvidia.com/artifactory/api/pypi/pypi-remote/simple"; fi &&
      TRTLLM_WHEEL=$(find /tmp/wheel -maxdepth 1 -name 'tensorrt_llm*.whl' -print -quit) &&
      test -n "${TRTLLM_WHEEL}" &&
      pip install "${TRTLLM_WHEEL}[mx]"
    08/12/2026 1:27 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote
    08/12/2026 1:27 AM UTC
    sha256:aa3a82eede3af74a9644e960b8a91a181a002a00da390f0c90ac4f6e21a4e919WORKDIR
    /app/tensorrt_llm
    08/12/2026 1:25 AM UTC
    sha256:0eea4524877aae1bc7aeb0629f9f6e832af57635190b549e8d78971b7b3dc1ddRUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip TRT_LLM_VER=1.3.0rc25.dev2026081200 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
    08/12/2026 1:23 AM 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.