Cerebrium AI is the ultimate platform that helps users to build, deploy and monitor machine learning models with just a few lines of code quickly and easily. It simplifies the process of training, deploying and monitoring models and eliminates the need for extensive coding knowledge.
Using Cerebrium, users can deploy serverless GPU models with various ML frameworks including PyTorch, ONNX, and XGBoost in just one line of code. It supports the deployment of prebuilt models that are optimized to run at sub-second latency and makes it perfect for real-time applications.
It has a fine-tuning feature that helps users fine-tune smaller models for specific tasks, reducing costs and latency while increasing performance. The tool also supports the use of several open-source models including GPT-Neo and Stable Diffusion, offering alternatives to proprietary models like GPT-3.
Use cases for Cerebrium AI:
Provides a machine learning framework.
Deploys serverless GPU models.
Makes custom model deployments.
Monitored ML models for prediction drift.
Compares several model versions and their performance.