Modelbit introduces MLOps functionality to deploy and manage ML models directly in Snowpark
Customers can now deploy ML models into Snowflake warehouses with Snowpark Python
Features include custom Python environments, Git integration, logging, and more for managing models in production
Enhanced security with data staying within Snowflake warehouses and using Snowflake credits on ML inference compute
Future plans involve deploying models to Snowpark Container Services (SPCS) and a Snowflake Native app integration

Modelbit is an MLOps platform that helps machine learning teams deploy models rapidly with minimal configuration. It supports a variety of ML models, including computer vision and fraud detection, with seamless integration into Jupyter, Colab, and Hex notebooks. The platform offers on-demand compute that scales automatically and can deploy to private clouds or Snowpark ML. Modelbit simplifies deployment with tools that transform models into REST APIs and SQL functions within data warehouses. Integration with Git ensures version control and CI/CD compatibility. Customers have successfully reduced costs and sped up model iteration.

Modelbit

MLOps platform enabling quick machine learning deployments and scaling.

Announcing Modelbit's MLOps for Snowpark Launch

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