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.

Layer	Label		Created
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TRT_LLM_GIT_COMMIT=ef0d06df5812b510f9d3a03b3cbb6fbf6a06406f TRT_LLM_VERSION=1.1.0rc2.post2`	09/11/2025 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.1.0rc2.post2`	09/11/2025 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=ef0d06df5812b510f9d3a03b3cbb6fbf6a06406f`	09/11/2025 2:33 PM UTC
sha256:5aa2dfbc70a8ffb627c3264320095bc445ac198812ec49fcb384d82af91aefe8	RUN	`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`	09/11/2025 2:33 PM UTC
sha256:4f3db7c5cda1b8a072a1feea67e81f6cac179c6679e655a37b1fac90b9ee88e7	COPY	`examples examples`	09/11/2025 2:33 PM UTC
sha256:70f3fd910ae52a6d108cd36ce4f448b56b06b1c7bfa195722789d980ce2c4bcb	COPY	`/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/`	09/11/2025 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build`	09/11/2025 2:33 PM UTC
sha256:e7061bbef8a2583658d2c92284388b69c8b8fe21dd473b59b28a8c4eb91f4af4	COPY	`/src/tensorrt_llm/benchmarks benchmarks`	09/11/2025 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`SRC_DIR=/src/tensorrt_llm`	09/11/2025 2:33 PM UTC
sha256:c12b5304a933320e97f9076c2b3c8364250cba2617a2ece119de27ba33c17b90	RUN	`/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" )`	09/11/2025 2:33 PM UTC