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=62b564ac3c3347e5edc24d1bfa42edfb434de5b4 TRT_LLM_VERSION=1.1.0rc4`	09/09/2025 8:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.1.0rc4`	09/09/2025 8:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=62b564ac3c3347e5edc24d1bfa42edfb434de5b4`	09/09/2025 8:26 AM UTC
sha256:8da6b11e3018fab1c0da4d138103f417a4a3c69c466ce1f3538c195ee5632669	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`	09/09/2025 8:26 AM UTC
sha256:6a2e9cc5f6e6c2851a1392371223af143cfdcbcd11f76c56dcb3e3e861d2e78e	COPY	`examples examples`	09/09/2025 8:26 AM UTC
sha256:c5079b889104e3d59bd536e06abaee02f4bd950802470084a97ae33717c5bbc8	COPY	`/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/`	09/09/2025 8:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build`	09/09/2025 8:26 AM UTC
sha256:582cf57d730c3cd91f642e1491e884126cbfea8668b37fdaddf31b34cd4e50f4	COPY	`/src/tensorrt_llm/benchmarks benchmarks`	09/09/2025 8:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`SRC_DIR=/src/tensorrt_llm`	09/09/2025 8:26 AM UTC
sha256:5ce59e806e2ee45255fb0f0dcb658f4872bec6cbaa16699d12a8803f45df1972	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" )`	09/09/2025 8:26 AM UTC