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Introduction
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Classroom Contents
Serving Machine Learning Models at Scale Using KServe
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- 1 Introduction
- 2 Background about KServe
- 3 Milestones
- 4 Model Development
- 5 Challenges
- 6 KServe
- 7 KServe Components
- 8 Standard Inference Protocol
- 9 HTTP Protocol
- 10 GRPC Protocol
- 11 New Scalability Problem
- 12 Current Approach
- 13 Problem
- 14 Compute resource limitations
- 15 Maximum pod limitations
- 16 Maximum IP address limitations
- 17 Model Mesh Solution
- 18 Performance Test
- 19 Latency Test
- 20 Model Mesh
- 21 Roadmap
- 22 Questions
- 23 Original Design
