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=8505c3ad88e75c511b880dce998c0ea862802bd4 TRT_LLM_VERSION=1.1.0rc3`	10/01/2025 8:23 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.1.0rc3`	10/01/2025 8:23 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=8505c3ad88e75c511b880dce998c0ea862802bd4`	10/01/2025 8:23 PM UTC
sha256:2ce65807252474918933350df3df10fbf356ec2c715f961e94537c09daa7707a	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`	10/01/2025 8:23 PM UTC
sha256:160833afa649a6bff63caa9f0d6628323966e3bd3f93c1b8796940bc6c9aa49b	COPY	`examples examples`	10/01/2025 8:23 PM UTC
sha256:b5964b7e325afbff7e92d047f5f2b79121cb0a30714338786a78464a8183e410	COPY	`/src/tensorrt_llm/cpp/build/benchmarks/bertBenchmark /src/tensorrt_llm/cpp/build/benchmarks/gptManagerBenchmark /src/tensorrt_llm/cpp/build/benchmarks/disaggServerBenchmark benchmarks/cpp/`	10/01/2025 8:23 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CPP_BUILD_DIR=/src/tensorrt_llm/cpp/build`	10/01/2025 8:23 PM UTC
sha256:be6a49289d0d6c915d42da458c09b3e92ee0b83ffeb4d93ebce3d5a2ea4effa8	COPY	`/src/tensorrt_llm/benchmarks benchmarks`	10/01/2025 8:23 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`SRC_DIR=/src/tensorrt_llm`	10/01/2025 8:23 PM UTC
sha256:b719778e4e954b4243e38cbc6bd46311694f40466e5c7ae609afcff3756acc3e	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" )`	10/01/2025 8:23 PM UTC