Modelbit

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Product Overview

With the new product ModelBit, deploying your machine learning models to production has never been easier. This innovative tool, born from the minds behind Periscope Data, streamlines the process of taking your models from development to deployment seamlessly. By simply running `modelbit.deploy()` from your Jupyter Notebook, you can instantly set up REST and Snowflake inference endpoints for your models. Additionally, ModelBit comes equipped with a range of essential features such as version control, CI/CD, logging, containerization, pipelines, and built-in feature stores.

Key Features

– Easy deployment of ML models from Jupyter Notebook with `modelbit.deploy()`
– Automatic generation of REST and Snowflake inference endpoints
– Built-in version control, CI/CD, logging, and containerization
– Seamless integration with pipelines and feature stores

Disclaimer: Please refer to the website for the most accurate and current pricing details and service offerings.

Best for

– Data scientists looking to streamline their model deployment process
– ML engineers seeking a comprehensive solution for productionizing models effectively
– Teams aiming to enhance collaboration and integration in their ML workflows
– Businesses wanting to scale their ML deployments efficiently
– Professionals seeking to simplify

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