github triton-inference-server/server v1.13.0
Release 1.13.0 corresponding to NGC container 20.03.1

latest releases: v2.51.0, v2.50.0, v2.49.0...
4 years ago

NVIDIA Triton Inference Server

The NVIDIA Triton 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. For edge deployments, Triton Server is also available as a shared library with an API that allows the full functionality of the server to be included directly in an application.

What's New In 1.13.0

  • Updates for KFserving HTTP/REST and GRPC protocols and corresponding Python and C++ client libraries. See Roadmap section of README for more information.
  • Update GRPC version to 1.24.0.
  • Several issues with S3 storage were resolved.
  • Fix last_inferrence_timestamp value to correctly show the time when inference last occurred for each model.
  • The Caffe2 backend is deprecated. Support for Caffe2 models will be removed in a future release.

Known Issues

  • The KFServing HTTP/REST and GRPC protocols and corresponding V2 experimental Python and C++ clients are beta quality and are likely to change. Specifically:
    • The data returned by the statistics API will be changing to include additional information.
    • The data returned by the repository index API will be changing to include additional information.
  • The new C API specified in tritonserver.h is beta quality and is likely to change.
  • When using the experimental V2 HTTP/REST C++ client, classification results are not supported for output tensors. This issue will be fixed in the next release.
  • When using the experimental V2 perf_client_v2, for high concurrency values perf_client_v2 may not be able to achieve throughput as high as V1 perf_client. This will be fixed in the next release.
  • 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 18.04 builds of the client libraries and examples are included in this release in the attached v1.13.0_ubuntu1804.clients.tar.gz file. 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 18.04 builds of the custom backend SDK are included in this release in the attached v1.13.0_ubuntu1804.custombackend.tar.gz file. See the documentation section 'Building a Custom Backend' for more information on using these files.

Jetson Jetpack Support

An experimental release of Triton for the Developer Preview of JetPack 4.4 is available as part of the 20.03 release. See 20.03 release for more information.

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