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TensorRT LLM Release
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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:c0b54db0309f9c7587bf3a9401ddc9dd63eff8f4959da59f5126a720fc614f3fRUN
    GIT_COMMIT=d41ab33df16740e18e8ef9c8735dad4efc46afd5 TRT_LLM_VER=1.3.0rc23 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
    07/30/2026 2:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    TRT_LLM_GIT_COMMIT=d41ab33df16740e18e8ef9c8735dad4efc46afd5 TRT_LLM_VERSION=1.3.0rc23
    07/30/2026 2:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    07/30/2026 2:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TRT_LLM_VER=1.3.0rc23
    07/30/2026 2:37 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    GIT_COMMIT=d41ab33df16740e18e8ef9c8735dad4efc46afd5
    07/30/2026 2:37 AM UTC
    sha256:8ef98ea462319acd84a79fc07fbd407dbc01c056555183a1ce0e7cda93ed5039RUN
    /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 $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
      test -f lib/libtensorrt_llm.so &&
      echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
      ldconfig &&
      ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
      rm -rf /root/.cache/uv/archive-v0 &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
      rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
    07/30/2026 2:37 AM UTC
    sha256:701daca8586761f92f09c08e98168e5b09616793bb5c46b76b61740f45461272RUN
    /bin/bash -c TRTLLM_WHEEL=$(find /tmp/wheel -maxdepth 1 -name 'tensorrt_llm*.whl' -print -quit) &&
      test -n "${TRTLLM_WHEEL}" &&
      pip install "${TRTLLM_WHEEL}[mx]"
    07/30/2026 2:37 AM UTC
    sha256:6ecbcdf520eb1baabd942f09f1bcbbfee1f5afe6628ceef90fb3d8023faea5d0WORKDIR
    /app/tensorrt_llm
    07/30/2026 2:24 AM UTC
    sha256:5c93f3c60e73e951b30c86c2c58817e41e07f8f17f981558a0e742b838f1b983RUN
    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=1.3.0rc23 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
    07/30/2026 2:20 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    TARGETARCH=amd64
    07/30/2026 2:20 AM UTC
    ...

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