Kubeflow
mlops platform
ML platform for Kubernetes
Supported languages
Concepts
pipelinescomponentsexperimentskatibkfserving
Pros and Cons
Ventajas
- + ML pipelines on Kubernetes
- + Native scalability
- + Modular components
- + Integrated Jupyter notebooks
- + Multi-framework support
Desventajas
- - Complex installation
- - Requires K8s expertise
- - Significant resources
- - Steep learning curve
Casos de Uso
- Production ML pipelines
- Distributed training
- Scalable model serving
- Experimentation on K8s