Cerebrium AI

Features

• One-Click Deployments: Deploy all major ML frameworks like Pytorch, Onnx, or models from HuggingFace etc, with just 1 line of code. Don't have your own models? We offer prebuilt models optimised to run with sub-second latency.
  
• Support for Major Frameworks: Our platform supports custom model deployments of all major frameworks such as Pytorch, Tensorflow, XGBoost etc.
  
• Effortless Fine-Tuning: Fine-tune your models in order to decrease costs and latency while increasing performance. You only need a few lines of code – infrastructure is on us.
  
• Simple ML Monitoring: Integrate with top ML observability platforms for alerts about feature/prediction drift, model comparison, and quick issue resolution.
  
• Serverless GPU's: We run a combination of Nvidia T4's, A10's and A100's and only charge you for your inference time.
  

Use Cases:

• Fast Model Deployment: Ideal for data scientists and engineers who want to deploy their machine learning models with Pytorch, Onnx, HuggingFace, and others quickly with lower costs.
  
• ML Model Fine-tuning: Helpful for users looking for a platform to fine-tune their smaller models on specific tasks to improve performance and reduce costs.
  
• ML model Observability: Perfect for teams that want to monitor feature and prediction drift, compare model versions and respond to issues rapidly.
  

Cerebrium’s ML platform is trusted and backed by users worldwide. It makes the entire process of ML model management from training, deployment to monitoring easy and efficient. Get started today with a free $10 credit!