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Create MinIO Storage for ML in Minutes

Connect your MinIO object storage to and enable rapid ML development with preconfigured ETL, permissions, versioning and configurations

Flexible ML Platform


Use any language, AI framework, and compute environment. Integrate and
version any kind of data to reuse in any project, experiment, and/or notebook

Interactive ML Platform


Use any development environment like JupyterLab, RStudio, and VSC with pre-installed dependencies and version control

Unified ML Platform


One unified environment to manage, build and deploy your machine learning with all your favorite data science tools

Learn more about the MinIO integration

MinIO is an open-source, high-performance object storage server that is designed for cloud-native and containerized environments. It’s optimized for high performance, enabling users to store and retrieve large amounts of data quickly, and it’s compatible with Amazon S3 APIs, making it easy for developers to deploy MinIO as a replacement for Amazon S3

Rapidly build machine learning models

  • Train models on your data using’s built-in AI library of advanced ML  components
  • Choose from dozens of ready made preprocessing scripts and training algorithms
  • Set up an end-to-end, production-ready, ML pipeline in minutes with your own data
ml pipeline
Data Access Layer

Data Access Layer

  • Manage all your team’s data sources in one centralized location
  • Easily change between data sources with simple CLI or UI connectivity
  • Control datasets with advanced access permission levels both by user and by compute
Data Access Layer

Data Version Control

  • Automatically version data of any size and with the ability to
    associate models to specific versions
  • Create metadata for each object to track, manage and store labels