Exploring ML Model Serving with KServe - Features and Use Cases
CNCF [Cloud Native Computing Foundation] via YouTube
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Overview
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This course explores how KServe supports machine learning model deployment, including out-of-the-box serving and monitoring, inference graphs, and ModelMesh for high-volume or high-density use cases. It introduces features for engineers and data scientists interested in model deployment.
Syllabus
Introduction
Features
Predictor
Control Plane
Replicas
CoopTree
Data Plane
Inference Graph
Standard Inference Protocol
Data Plane Plugins
Monitor Logger
Serving Runtime
MultiModel Serving
Use Cases
Inference Service
Conclusion
Questions
Taught by
CNCF [Cloud Native Computing Foundation]