Cerebrium: Simplify Training, Deploying, and Monitoring Machine Learning Models with Ease
Cerebrium is a machine learning framework designed to simplify the training, deployment, and monitoring of models with just a few lines of code. It enables users to deploy serverless GPU models, supports all major frameworks, and allows chaining of LLMs and custom models to create unique functionalities. Users can add pre- and post-processing logic, automatically version models, and achieve cold starts in under one second. Cerebrium also offers easy fine-tuning, seamless integration with leading ML observability platforms, and robust monitoring of feature and prediction drift.