Shypd.aiThe largest open index of AI toolsSimple TensorFlow Serving is an open-source tool for deploying machine learning models. It provides a generic and easy-to-use serving service, supporting various model platforms and offering RESTful/HTTP APIs.
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About
Simple TensorFlow Serving is a versatile and user-friendly open-source solution designed for deploying machine learning models. It supports a wide array of model platforms including TensorFlow, MXNet, PyTorch, Caffe2, CNTK, ONNX, H2o, Scikit-learn, XGBoost, PMML, and Spark MLlib. The tool offers general RESTful/HTTP APIs, enabling seamless integration and inference with accelerated GPU support. It facilitates client generation in multiple programming languages without coding, and supports dynamic online/offline management of model versions. Additionally, it provides statistical metrics for verbose requests, secure authentication with basic auth, and TSL/SSL encryption, making it suitable for various deployment scenarios from development to enterprise.
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Open Source
Free
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