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NVIDIA
TensorRT Inference Server
Container
NVIDIA
NVIDIA
TensorRT Inference Server

TensorRT Inference Server provides a data center inference solution optimized for NVIDIA GPUs. It maximizes inference utilization and performance on GPUs via an HTTP or gRPC endpoint, allowing remote clients to request inference for any model that is being managed by the server, as well as providing real-time metrics on latency and requests.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=25611c8732dfa73f289033800e1f04ccba5130e9
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=9326846
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=9326846
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/opt/tensorrtserver/nvidia_entrypoint.sh
12/20/2019 7:16 PM UTC
sha256:ab831688d7c9af7e144b8cbaeb23b4c567dd41bba829ede5409667c1f972aaf1COPY
--chown=1000:1000file:f894ab75fd7380df5bdd020b60e778b96df3f14a43d41bc5a541919311d0cdfb in /opt/tensorrtserver
12/20/2019 7:16 PM UTC
sha256:372e1cedabcbd6c2678b5fe8196bec26c0acea81d5aa647b7117b96a383723d8RUN
TRTIS_CONTAINER_VERSION=20.01 TRTIS_VERSION=1.10.0 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
12/20/2019 7:16 PM UTC
sha256:5aff1adf2f0c014416103a9b79596657ad5335dc20627c58cf5182abd3f444d0RUN
TRTIS_CONTAINER_VERSION=20.01 TRTIS_VERSION=1.10.0 apt-get update &&
  apt-get install -y --no-install-recommends python3-pip &&
  rm -rf /var/lib/apt/lists/* &&
  pip3 install --upgrade wheel setuptools &&
  (cd $INTEL_CVSDK_DIR/deployment_tools/model_optimizer &&
  pip3 install -r requirements_onnx.txt)
12/20/2019 7:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/opt/openvino_scripts:/opt/openvino_scripts/openvino_2019.1.144:/opt/openvino_scripts/openvino_2019.1.144/deployment_tools/model_optimizer:/opt/openvino_scripts/openvino_2019.1.144/tools:
12/20/2019 7:15 PM UTC
...

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