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Exposing distributed computation results as high-performance web services.
Distinct from Distributed Computing: Focuses on the serving/API layer of distributed computations rather than the execution framework itself.
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SynapseML is an Apache Spark machine learning library designed for building and scaling machine learning workflows and data pipelines across distributed clusters. It serves as a distributed machine learning pipeline framework and a distributed inference engine for executing hardware-accelerated predictions and deep learning tasks on large-scale datasets. The project functions as a cloud AI integration layer, allowing users to apply pretrained artificial intelligence services for text, vision, and speech within distributed pipelines. It also includes a dedicated suite of tools for distributed
Exposes cluster-based computations as web services to deliver results with sub-millisecond response times.