tensorflow/serving
serving
A flexible, high-performance serving system for machine learning models
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tensorflow
tensorflow • individual
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Jan 26, 2016
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TensorFlow Serving is a flexible, high-performance serving system designed for production environments to serve machine learning models. It provides out-of-the-box integration with TensorFlow models and can be extended to serve other types of models and data. The system handles model lifecycle management, versioning, and provides both HTTP/REST and gRPC APIs for inference requests.
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- Project created
- Jan 26, 2016
- Forked
- Mar 22, 2026
- Your last push
- 3 months ago
- Upstream last push
- 7 days ago
- Tracked since
- Dec 18, 2025
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