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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
sha256:68185d268c25b171bff170f38d6c8045696f28e440fa576a39bf307222cadbddRUN
GIT_COMMIT=de12c007794c74fb790d19e85ef1870eb12bc73c TRT_LLM_VER=1.3.0a0.dev202610151219 TARGETARCH=amd64 /bin/bash -c bash /mnt/gen_attribution.sh "release" "${TRT_LLM_VER}" "${TARGETARCH}"
10/15/2026 12:46 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=de12c007794c74fb790d19e85ef1870eb12bc73c TRT_LLM_VERSION=1.3.0a0.dev202610151219
10/15/2026 12:46 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/15/2026 12:46 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=1.3.0a0.dev202610151219
10/15/2026 12:46 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=de12c007794c74fb790d19e85ef1870eb12bc73c
10/15/2026 12:46 PM UTC
sha256:7b24555066c017516d261b4006f31805c6d1e9d411f64d8f46ba05d554c3fc86RUN
/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 $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
  test -f lib/libtensorrt_llm.so &&
  echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
  ldconfig &&
  ! ( ldd -v lib/libth_common.so | grep tensorrt_llm | grep -q "not found" ) &&
  rm -rf /root/.cache/uv/archive-v0 &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info &&
  rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info
10/15/2026 12:46 PM UTC
sha256:ad0f15ec2063f903b47fbc0d553eea9fd9ef17a67729029e9bf57c9dbf1183f9RUN
/bin/bash -c TRTLLM_WHEEL=$(find /tmp/wheel -maxdepth 1 -name 'tensorrt_llm*.whl' -print -quit) &&
  test -n "${TRTLLM_WHEEL}" &&
  pip install "${TRTLLM_WHEEL}[mx]"
10/15/2026 12:46 PM UTC
sha256:5f58c3d4fbd4fe47a7b383a95817447e794920b41d4a9acaa161674f93a823c9WORKDIR
/app/tensorrt_llm
10/15/2026 12:44 PM UTC
sha256:d34949278dfbb6f0cb9709d237128d10ba108d5d2320a448403d9d7b69762966RUN
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.dev202610151219 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"
10/15/2026 12:40 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
10/15/2026 12:40 PM UTC
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