Cerebrium

Cerebrium Overview

Cerebrium is a user-friendly machine learning framework that simplifies the process of training, deploying, and monitoring machine learning models. It offers serverless GPU model deployment for all major ML frameworks such as Pytorch, Onnx, XGBoost, etc., with just a single line of code. Users can also deploy prebuilt models optimized for sub-second latency. Cerebrium also provides an effortless fine-tuning feature for smaller models to enhance performance while reducing costs and latency. It offers seamless integration with top ML observability platforms for efficient monitoring and quick issue resolution.

Cerebrium Highlights

• Serverless GPU Model Deployment: Deploy all major ML frameworks with just 1 line of code.
• Effortless Fine-tuning: Fine-tune smaller models on specific tasks to decrease costs and latency while increasing performance.
• Monitoring Made Simple: Integrate with top ML observability platforms for efficient monitoring and quick issue resolution.