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NVIDIA
NVIDIA
TensorRT LLM Release
Container
NVIDIA
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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TRT_LLM_GIT_COMMIT=751d5f175ca485f26227f69756179d209d8ebbda TRT_LLM_VERSION=0.21.0
08/03/2025 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TRT_LLM_VER=0.21.0
08/03/2025 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
GIT_COMMIT=751d5f175ca485f26227f69756179d209d8ebbda
08/03/2025 6:35 PM UTC
sha256:9e235ddcb9ac24edaae7f7ab32342dd6af507090918c1bcd6eb387ecafe73cc8RUN
SRC_DIR=/src/tensorrt_llm CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build /bin/bash -c chmod -R a+w examples &&
  rm -v benchmarks/cpp/bertBenchmark.cpp benchmarks/cpp/gptManagerBenchmark.cpp benchmarks/cpp/disaggServerBenchmark.cpp benchmarks/cpp/CMakeLists.txt &&
  rm -rf /root/.cache/pip
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sha256:2c8fa245e7e94948ce84191f66094d65d5efe8cd02c57a7e5e5ad68575554097COPY
examples examples
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sha256:79a03470476d1963b1fb466b1491104bf6fefe77943ecc8ca54fede8289a6bb5COPY
/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/
08/03/2025 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build
08/03/2025 6:35 PM UTC
sha256:63c27a01d8695fb66979ce5c6c7d1af2f7e14872a0cd8e03ad0a2a878a91030dCOPY
/src/tensorrt_llm/benchmarks benchmarks
08/03/2025 6:35 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
SRC_DIR=/src/tensorrt_llm
08/03/2025 6:35 PM UTC
sha256:288ae6a7a437d70eeb187a59209f5ff4dc19d5f429e4c2471c2ade7660952800RUN
/bin/bash -c ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/bin")') bin &&
  test -f bin/executorWorker &&
  ln -sv $(python3 -c 'import site; print(f"{site.getsitepackages()[0]}/tensorrt_llm/libs")') lib &&
  test -f lib/libnvinfer_plugin_tensorrt_llm.so &&
  echo "/app/tensorrt_llm/lib" > /etc/ld.so.conf.d/tensorrt_llm.conf &&
  ldconfig &&
  ! ( ldd -v bin/executorWorker | grep tensorrt_llm | grep -q "not found" )
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