blob-storage

From Azure Blob storage to ML modeling in Minutes

Connect your Azure Blob storage to cnvrg.io and enable rapid ML development with preconfigured ETL, permissions, versioning and configurations

Flexible ML Platform

Flexible

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

Interactive

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

Unified ML Platform

Unified

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

Learn more about the Azure Blob storage integration

Azure Blob storage is Microsoft’s object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn’t adhere to a particular data model or definition, such as text or binary data.

Instantly build machine learning models

  • Instantly train models on your data using the 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
data version control
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Join the innovative enterprises using cnvrg.io to build, train & deploy their models faster.

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Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

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