NVIDIA TensorRT Inference Server

The NVIDIA TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs. The server provides an inference service via an HTTP or GRPC endpoint, allowing remote clients to request inferencing for any model being managed by the server.

What's New In 1.10.0

• Server status can be requested in JSON format using the HTTP/REST API. Use endpoint /api/status?format=json.
• The dynamic batcher now has an option to preserve the ordering of batched requests when there are multiple model instances. See model_config.proto for more information.

Known Issues

• TensorRT reformat-free I/O is not supported.
• Some versions of Google Kubernetes Engine (GKE) contain a regression in the handling of LD_LIBRARY_PATH that prevents the inference server container from running correctly (see issue 141255952). Use a GKE 1.13 or earlier version or a GKE 1.14.6 or later version to avoid this issue.

Client Libraries and Examples

Ubuntu 16.04 and Ubuntu 18.04 builds of the client libraries and examples are included in this release in the attached v1.10.0_ubuntu1604.clients.tar.gz and v1.10.0_ubuntu1804.clients.tar.gz files. See the documentation section 'Building the Client Libraries and Examples' for more information on using these files. The client SDK is also available as a NGC Container.

Custom Backend SDK

Ubuntu 16.04 and Ubuntu 18.04 builds of the custom backend SDK are included in this release in the attached v1.10.0_ubuntu1604.custombackend.tar.gz and v1.10.0_ubuntu1804.custombackend.tar.gz files. See the documentation section 'Building a Custom Backend' for more information on using these files.