Description
Cerebrium is a platform that simplifies the process of building, deploying, and monitoring machine learning models with major ML frameworks. It offers features like custom model deployments, fine-tuning, real-time logging and monitoring, and scalability with minimal latency. Cerebrium is used by engineering teams at various companies.
What is this for?
Cerebrium is a platform that simplifies the process of building, deploying, and monitoring machine learning models with just a few lines of code. It offers support for training, deploying, and monitoring models with major ML frameworks, as well as custom model deployments and fine-tuning features.
Who is this for?
Cerebrium is designed for engineers and teams who want to quickly and easily deploy machine learning models without extensive coding knowledge. It is used by teams at companies like Twilio, Ramp, and Writesonic.
Best Features
- Seamless integration and flexibility for developers, allowing for easy iteration and customization of models.
- Real-time logging and monitoring with alerts, logs, and performance profiling down to the request level.
- Scalability with negligible latency added, redundancy across multiple regions, and minimal failure rates.