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2022-03

🚨 BREAKING CHANGES

  • Models and Deployments: Created a separate entity for models inside the deployment. Now users create deployments and add models to the deployment. With this change, the deployment is the entity you communicate with to interact with model, and the model the containerized format of your trained production-ready model.

✨ Features

  • Challenger Models: Introduced ability to add challenger models to deployments. Challenger models receive the same traffic as the live model allowing users to directly compare a model and its variations in a production environment.
  • API Monitor: Added CPU and RAM usage graphs to API Monitor. Users can now see how much resources their models consume.
  • Activity: Added "Activity Card" in deployments overview page.

🛠️ Fixes

  • Training Data: Fixed issue of upload failure with large files. Users can now upload up to 2GB of training data without facing timeout.