Kubeflow: Machine Learning en Cloud para todos
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Machine Learning Exchange (MLX)
- 1. Machine Learning Exchange (MLX) Animesh Singh, Christian Kadner, Tommy Li, Andrew Butler
- 2. Machine Learning Exchange (MLX) : Data and AI Assets Catalog and Execution Engine
- 3. Machine Learning Exchange (MLX) – Data and AI Assets Catalog and Execution Engine – Upload, register, execute, and deploy -AI pipelines and Components -Models -Datasets -Notebooks – Automated sample pipeline code generation to train, validate, serve your registered models, datasets and notebooks – Pipelines Engine powered by Kubeflow Pipelines on Tekton, core of Watson Pipelines – Serving engine by KFServing (Next gen base for WML) , Datasets Management by Dataset Lifecycle Framework – Preregistered Datasets from Data Asset Exchange (DAX) and Models from Model Asset Exchange (MAX) – Model Metadata schema aligned with MLSpec MLX API Server Components Pipelines Notebooks Object Store Kubeflow Pipelines on Tekton MLX UI SDK Relational DB Models Datasets Datashim KFServing Notebook Component - Elyra MAX/DAX
- 4. View, download, and execute Pipelines 4
- 5. View, download, and execute Pipeline Components 5
- 6. Library of prepackaged models. Register your own models, run with Pipelines 6
- 7. View, modify, and monitor deployed models 7
- 8. Register and deploy Datasets (as sharable Volumes for other assets) 8
- 9. Library of prepackaged notebooks. Register your own notebooks
- 10. 10 Run Notebooks using Pipelines
- 11. Integration
- 12. Pluggable Components Watson Studio WML Open Scale Kubeflow Training Seldon AIF360 ART KATIB KFSERVING … … TASK STEP POD STEP TASK STEP STEP POD Container Container Container Container TEKTON KFP API Server Components Pipelines Object Store KFP UI Relational DB COMPILE KFP SDK Intermediate Representation [IR] Pipelines - default integration with Kubeflow Pipelines and Tekton
- 13. Datasets - default integration with Datashim
- 14. Models – default integration with KFServing Kubernetes Compute cluster GPU, TPU ,CPU Model Assets. Istio Knative KFServing PRE-PROCESS PREDICT POST-PROCESS EXPLAIN
- 15. Notebooks – default integration with Elyra Notebook Component
