Analytics Zoo makes it easy to build machine learning/deep learning applications on Apache Spark and BigDL, by providing an end-to-end Analytics as well as AI Platform. It offers an end-to-end pipeline for applying AI models (TensorFlow, Keras, PyTorch, OpenVINO etc.) to distributed big data using Spark, Flink & Ray and is also responsible for their seamless scalability. With the help of Analytics, zoo models can be productionized and inferences can be obtained through simple Pub/Sub APIs and Python Async APIs. Additionally, it also offers powerful features like model-serving and cluster-serving, making it much easier for organizations to design flexible and robust pipelines with the comfort of their own internal ecosystems.
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