Cerebrium offers a comprehensive machine learning platform that simplifies the process of training, deploying, and monitoring ML models. With just a few lines of code, users can deploy models from major ML frameworks such as Pytorch, Onnx, or HuggingFace. The platform boasts of its serverless GPU model deployment, ensuring optimal performance and cost-efficiency. Cerebrium also provides effortless fine-tuning capabilities, allowing users to fine-tune smaller models for enhanced performance. Additionally, the platform integrates with top ML observability platforms, ensuring timely alerts about feature or prediction drift and facilitating quick issue resolution.
Cerebrium is perfect for ML engineers and developers seeking a streamlined platform for training, deploying, and monitoring their ML models on serverless infrastructure.
Cerebrium provides a holistic platform for ML training, deployment, and monitoring, leveraging serverless infrastructure for optimal performance and cost savings.