Cerebrium is an AWS Sagemaker alternative providing all the features you need to quickly build an ML product.

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Cerebrium is our Python framework that meets you where you work - whether it be in Notebooks or .py files we want you to feel comfortable and be environment agnostic.

Getting Started

To deploy your machine learning model to Cerebrium takes just 2 lines of code.

Test and Deploy

Cerebrium provides prebuilt models that you can deploy to an API.

Deploying Prebuilt Models

Advanced Functionality

Logging your predictions to external monitoring tools.

External Monitoring Tools

Censius is a monitoring tool that allows you to track your model performance in production environments.

Censius

Deployment Examples

This example provides the steps to deploy a simple Onnx model from scratch using Cerebrium.

Onnx

This example provides the steps to deploy a simple Pytorch model (CNN) from scratch using Cerebrium.

Pytorch

This example provides the steps to deploy a simple Sci-Kit Learn model from scratch using Cerebrium.

Scikit

This example provides the steps to deploy a simple XGBoost model (from scratch!) using Cerebrium.

Introduction

Get started

Start with a framework

PyTorch

scikit learn

XGBoost