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KitOps: A Unified Solution to Manage AI/ML Projects

Table of Contents

KitOps: A Unified Solution to Manage AI/ML Projects

In AI/ML projects, various components are usually stored in separate locations:

  • Code resides in Git repositories
  • Datasets and models are stored in DVC or storage services like S3
  • Parameters are managed using experiment management tools

As components are stored separately, the process of deploying and integrating them can become more complicated.

KitOps’s ModelKits offers a unified solution by packaging these components into ModelKits. This allows for easy versioning and sharing of components with other team members in just a few commands.

Learn more about KitOps.

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Work with Khuyen Tran

Work with Khuyen Tran