NVIDIA
TensorRT LLM Release
Container
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:ed1ba2551b0eaf71317f236191df656e2b60e051a2e4902e089015804580c9f6RUN
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote GIT_COMMIT=767af6f2856bcfb9dbd888b00b02d105dedee4b5 TRT_LLM_VER=1.3.0rc25.dev2026082700 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
    08/27/2026 12:28 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TRT_LLM_GIT_COMMIT=767af6f2856bcfb9dbd888b00b02d105dedee4b5 TRT_LLM_VERSION=1.3.0rc25.dev2026082700
    08/27/2026 12:28 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    08/27/2026 12:28 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.3.0rc25.dev2026082700
    08/27/2026 12:28 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    GIT_COMMIT=767af6f2856bcfb9dbd888b00b02d105dedee4b5
    08/27/2026 12:28 AM UTC
    sha256:e9c93c149edf744e02252d484a04d7cc685b73e761e668921271d0d1ef25d4adRUN
    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 $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
      test -f lib/libtensorrt_llm.so &&
      echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
      ldconfig &&
      ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
      rm -rf /root/.cache/uv/archive-v0 &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
    08/27/2026 12:28 AM UTC
    sha256:4daa5db51b35959646726b51ca298651b11aed5835c5f07638ded31307f7f4eeRUN
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote /bin/bash -c if [ -n "$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 "${TRTLLM_WHEEL}[mx]"
    08/27/2026 12:28 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote
    08/27/2026 12:28 AM UTC
    sha256:b774bd8f384b56d5b8c84ed929a30453682a07542b3a7906b17b380c1bf91ae3WORKDIR
    /app/tensorrt_llm
    08/27/2026 12:27 AM UTC
    sha256:8219e82b04dfe6aa1274d769f6f48fa021a56fd7853b88aa2f47d879add65457RUN
    SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip TRT_LLM_VER=1.3.0rc25.dev2026082700 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
    08/27/2026 12:25 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.