The basics is a flexible and robust machine learning platform. It consists of two parts:

  • Core is a resource orchestrator. It can be installed in a cloud or on-premise and combines computation capabilities, storage, and environments (Docker images) in one system with single sign-on authentication (SSO) and advanced permission management system. This frees teams working with from DevOps.

  • Toolbox is a toolset integrator. It contains integrations with various open-source and commercial tools required for modern ML/AI development. This addresses the majority of MLOps issues a team may have.

If you're new to, here are two simple steps to get started:

Digging deeper

For detailed information on specific use cases, feel free to refer to our ML development guides. For example:

Also, take a look at our CLI reference and Python API reference.

To get more help, refer to the FAQ or contact us at