Hydrosphere Serving

Machine Learning Management Platform
Deploying, versioning, testing, scoring, monitoring.
Run any ML pipeline on any infrastructure.

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Products Overview / Hydrosphere Serving

Hydrosphere Serving is a machine learning serving cluster for deploying machine learning models and ad-hoc algorithms. Automated versioning, monitoring and testing functionality are included.


Maximize abstraction from infrastructure, provisioning and management. Hydrosphere Serving deploys models eg. on Local, AWS, Kubernetes, Mesos and YARN environments.

Open Source

Everything is open source. No premium features and enterprise versions. No hidden costs and learning curve can be as smooth as it gets.

No coding and no dependencies

Hydrosphere Serving needs just models metadata and runtime version to compose a deployable API instance.

ML Frameworks agnostic

Hydrosphere Serving cluster won’t lock you in to a specific machine learning framework, but lets you publish your data science toolbox by deploying scikit-learn, TensorFlow, mllib, deeplearning4j and other popular or custom machine learning runtimes in one click.

No training constraints

Flexible training of the data model within your favourite workspace (notebook) environment or through automatic training pipelines.

Native Spark ML support

Hydrosphere Serving natively supports Apache Spark prediction pipelines – no conversion to PMML is required.

Models versioning and A/B testing

Version control of predictive models included, to facilitate early and efficient comparative (A/B) testing.
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Open Source

Hydrosphere Serving is open source software available under the Apache 2 License on GitHub