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TensorRT LLM Release
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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
sha256:1ddf9bd63fe3bedf3517b75cb15deb052db236054f207638596ffdd85448a777RUN
GIT_COMMIT=1cef02e901be43081b1ba6d4981e94ed3bd9c1e8 TRT_LLM_VER=1.3.0rc24 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
08/09/2026 8:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=1cef02e901be43081b1ba6d4981e94ed3bd9c1e8 TRT_LLM_VERSION=1.3.0rc24
08/09/2026 8:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
08/09/2026 8:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.3.0rc24
08/09/2026 8:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=1cef02e901be43081b1ba6d4981e94ed3bd9c1e8
08/09/2026 8:16 PM UTC
sha256:0e7e071f591abc2697d91168c48eb24924b71b134dd6056791b121d25336888cRUN
/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 $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
  test -f lib/libtensorrt_llm.so &&
  echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
  ldconfig &&
  ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
  rm -rf /root/.cache/uv/archive-v0 &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
08/09/2026 8:16 PM UTC
sha256:cfd72f0e0952f11ec2369275d6f5f001cc797f9d965f2598bc16d248e59a23b9RUN
/bin/bash -c TRTLLM_WHEEL=$(find /tmp/wheel -maxdepth 1 -name 'tensorrt_llm*.whl' -print -quit) &&
  test -n "${TRTLLM_WHEEL}" &&
  pip install "${TRTLLM_WHEEL}[mx]"
08/09/2026 8:16 PM UTC
sha256:9374683df5b73801dfb38a0387a15177270b7056dae1e326e3365d530246c361WORKDIR
/app/tensorrt_llm
08/09/2026 8:01 PM UTC
sha256:4264ee8f946bf840e26e80c609421342a01857fd378a8d2769c7ad4f0637037fRUN
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=1.3.0rc24 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
08/09/2026 7:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
08/09/2026 7:59 PM UTC
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