Audience
Machine Learning operations solution that helps DevOps teams accelerate their workflow
About HPE Ezmeral ML OPS
HPE Ezmeral ML Ops provides pre-packaged tools to operationalize machine learning workflows at every stage of the ML lifecycle, from pilot to production, giving you DevOps-like speed and agility. Quickly spin-up environments with your preferred data science tools to explore a variety of enterprise data sources and simultaneously experiment with multiple machine learning or deep learning frameworks to pick the best fit model for the business problems you need to address. Self-service, on-demand environments for development and test or production workloads. Highly performant training environments—with separation of compute and storage—that securely access shared enterprise data sources in on-premises or cloud-based storage. HPE Ezmeral ML Ops enables source control with out of the box integration tools such as GitHub. Store multiple models (multiple versions with metadata) for various runtime engines in the model registry.
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Integrations
Company Information
Hewlett Packard Enterprise
Founded: 2015
United States
www.hpe.com/us/en/solutions/ezmeral-machine-learning-operations.html
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