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=15ec2b855d2a829939cda4c6fecea50af294a52c TRT_LLM_VERSION=1.1.0rc2`	08/29/2025 3:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.1.0rc2`	08/29/2025 3:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=15ec2b855d2a829939cda4c6fecea50af294a52c`	08/29/2025 3:13 PM UTC
sha256:cdfbfcf73fc9329cf0efbdf0c8ae3242e5cd62105ee9fce398b74d938ca9acb2	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`	08/29/2025 3:13 PM UTC
sha256:fa38f9b001b70523df6ae4ba09307a6b665197a818755541d2fed0d043246229	COPY	`examples examples`	08/29/2025 3:13 PM UTC
sha256:a1bef7aca2235258e3ab24d1c797afbadad5ebf37482821a84e36dbc855f0e63	COPY	`/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/`	08/29/2025 3:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build`	08/29/2025 3:13 PM UTC
sha256:d5bc5ed5ca75395291ddb0c377327afe76a7bdfd9cb60772392de7b871ab437f	COPY	`/src/tensorrt_llm/benchmarks benchmarks`	08/29/2025 3:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`SRC_DIR=/src/tensorrt_llm`	08/29/2025 3:13 PM UTC
sha256:06bae082438b8c95396cf9f57c9ff8d1126c05979a5dcd6b7081bb6a48797db2	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" )`	08/29/2025 3:13 PM UTC