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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
sha256:6e83e6648b81ca172b0bc9ffc63c7acb9fae1942e5d3beaaf16f94e047d03bc8RUN
GIT_COMMIT=45a52f216772297d2361bb55b94c78fcd02c80ba TRT_LLM_VER=1.3.0a0.dev202610210406 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
10/21/2026 4:33 AM UTC
sha256:f534f11f4a3ff97858cc076716d38cde32a9e53a4a096d236bf2d204d0c253eaRUN
GIT_COMMIT=45a52f216772297d2361bb55b94c78fcd02c80ba TRT_LLM_VER=1.3.0a0.dev202610210406 TARGETARCH=amd64 /bin/bash -c python3 /tmp/validate_wheel_metadata.py --expected-version "${TRT_LLM_VER}" --expected-commit "${GIT_COMMIT}" --source-version-file /tmp/trtllm_source_version.py
10/21/2026 4:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=45a52f216772297d2361bb55b94c78fcd02c80ba TRT_LLM_VERSION=1.3.0a0.dev202610210406
10/21/2026 4:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/21/2026 4:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.3.0a0.dev202610210406
10/21/2026 4:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=45a52f216772297d2361bb55b94c78fcd02c80ba
10/21/2026 4:33 AM UTC
sha256:3467733e6fb065853ca3d8ad8139ad6675050286f174e4dcdf58f3b67ca1fdd2RUN
/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 $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
  test -f lib/libtensorrt_llm.so &&
  echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
  ldconfig &&
  ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
  rm -rf /root/.cache/uv/archive-v0 &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
10/21/2026 4:33 AM UTC
sha256:e8517e8c3200bd5fb70448fd352febfff5f2906a26e7fea9877520e5c56612a2RUN
/bin/bash -c TRTLLM_WHEEL=$(find /tmp/wheel -maxdepth 1 -name 'tensorrt_llm*.whl' -print -quit) &&
  test -n "${TRTLLM_WHEEL}" &&
  pip install "${TRTLLM_WHEEL}[mx]"
10/21/2026 4:33 AM UTC
sha256:2666167f809a812a42c746d727acf9ed9e7b1227525e55554f82e2735616cfe4WORKDIR
/app/tensorrt_llm
10/21/2026 4:29 AM UTC
sha256:e7f0285700bb90b06be157a53ad070abbea2c16fb342aa3beb57ef97d0d9482dRUN
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=1.3.0a0.dev202610210406 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/21/2026 4:27 AM UTC
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