According to a new press release, “Verta.ai, provider of Verta Enterprise, an open-core end-to-end MLOps platform, today announced the launch of ModelDB 2.0, an industry-leading, open-source model versioning system to make machine learning (ML) development and deployment reliable, safe, and reproducible. In a field that is rapidly evolving but lacks infrastructure to operationalize and govern models, ModelDB 2.0 provides the ability to track and version the full modeling process including the underlying data and training configurations, ensuring that teams can always go back and re-create a model, whether to remedy a production incident or to answer a regulatory query.”
The release goes on, “While robust systems are available in software for key operations like source code management, agile delivery, and operations; these systems are missing for ML models, making it challenging for companies to integrate ML into their core products. ModelDB 2.0 completely reconsiders what a model versioning system should provide and how it should be built. Using the best-in-class constructs from code versioning systems like Git, and adapting them to the special requirements for reproducing ML models, Verta’s ModelDB 2.0 allows for complete governance, audits, version control, and collaboration on ML models.”
It adds, “Licensed under Apache V2, ModelDB 2.0 is now generally available, delivering the following new capabilities to the open-source community: (1) Ability to version the key ingredients of a model including code, data, configuration and environment. (2) Ability to reproduce any model that has been versioned using the ModelDB protocol. (3) Integrations into popular ML frameworks such as PyTorch, Tensorflow, and scikit-learn. (4) User management with authentication, authorization, organization and teams. (5) ModelDB 2.0 from Verta.ai Helps Organizations Bring Agility to Data Science.”
Read more at Globe Newswire.
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