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.

Layer	Label		Created
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TRT_LLM_GIT_COMMIT=791fd56a9aef101fcc39abdf972f160f93502a0b TRT_LLM_VERSION=1.0.0rc5`	08/05/2025 9:24 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.0.0rc5`	08/05/2025 9:24 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=791fd56a9aef101fcc39abdf972f160f93502a0b`	08/05/2025 9:24 AM UTC
sha256:6d03bd321fdbd554708f9a0f7c8fd2dfa0011ed72a101702890e6f90701fee49	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`	08/05/2025 9:24 AM UTC
sha256:02c7de114dec53a7f2101c03ec53c1a95801816a7a3a8762461717d421fb2e78	COPY	`examples examples`	08/05/2025 9:24 AM UTC
sha256:509d696ea62559adb1584683d043a91d3042ed62300e4687da7af98de3072e30	COPY	`/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/`	08/05/2025 9:24 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build`	08/05/2025 9:24 AM UTC
sha256:3fc20acc5deafafc275714fb7eac618b6d687b955cfd637f0757643605f06f47	COPY	`/src/tensorrt_llm/benchmarks benchmarks`	08/05/2025 9:24 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`SRC_DIR=/src/tensorrt_llm`	08/05/2025 9:24 AM UTC
sha256:5184b6b1aa0b9b404914f81c65220ea2290e8cfc8c9be723d1e443dd4ec89db4	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" )`	08/05/2025 9:24 AM UTC