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@kirilg kirilg released this 03 Feb 20:16
· 8057 commits to master since this release

New Features:

  • Model Server binary in tensorflow_serving/model_servers with a PredictionService API.
  • Support SavedModel format and added ability to upconvert legacy SessionBundle exports. See
    • NOTE: SessionBundle is now deprecated and we plan to end official support in the upcoming 1.0 release. Please move to use SavedModel.
  • Multi-model batch scheduling: interleaveing batches for different models.
  • Registry of servable types for Model Server to handle ones other than SessionBundle/SavedModel, including third-party ones not in TF-Serving codebase.
  • Resource management: using model size estimates to avoid exceeding server memory capacity.
    Concurrent model loading & fast initial load.
  • Request logging:
    • A protobuf based logging API.
    • Provides ability for users to log a configurable sample, or all, of the queries served.
  • Support querying named signatures.


  • Assembled core manager setup code into a ServerCore object.
  • Various bug fixes.
  • Documentation updates.