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Seldon Core
Seldon Core is an open-source platform that enables the deployment, scaling, and management of machine learning models on Kubernetes. It provides a robust framework for serving ML models, ensuring scalability, reliability, and efficient management of model inference workloads.
Features
- Model Serving: Deploys and manages ML models.
- Scalability: Scales model deployments on Kubernetes.
- Integration: Supports various ML frameworks and tools.
- Monitoring: Provides tools for monitoring model performance.
Benefits
- Scalability: Easily scales with demand.
- Efficiency: Simplifies model deployment and management.
- Flexibility: Supports multiple ML frameworks.
- Reliability: Ensures high availability and performance.
Use Cases
- Deploying machine learning models in production.
- Managing large-scale inference workloads.
- Monitoring and optimizing model performance.
- Building scalable AI-driven applications.
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