Modelbit
Modelbit streamlines the deployment of machine learning models through an infrastructure-as-code approach. It enables users to manage the entire ops workflow—covering stages like hosting, autoscaling, and drift detection—directly from their git repository. With seamless integration into Python environments, it empowers teams to iterate rapidly and deploy efficiently.
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Top Modelbit Features
- Infrastructure-as-code for ML
- Git integration for deployments
- High-level Python API
- CLI for environment management
- Unique REST API per version
- Idempotent deployment processes
- Automatic autoscaling capabilities
- Drift detection for model performance
- Shadow deployments for safe testing
- Rapid model iteration and deployment
- Realtime threat detection support
- Batch processing for large datasets
- Easy integration with cloud notebooks
- Simplified VPC and IAM management
- Cloud or on-premises deployment options
- Support for large vision models
- Built-in retraining and re-evaluation
- 99.99% uptime reliability
- Seamless model migration from SageMaker
- Comprehensive CI/CD pipeline support.
