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Ray Serve is built for Multi-model Inference
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Classroom Contents
State of Ray Serve in 2.0 - Features and Updates for Multi-model Inference
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- 1 Intro
- 2 Working Example: Content Understanding
- 3 Content Understanding Architecture
- 4 Requirements for Online Inference
- 5 Basic Solution: Multi-model Monolith
- 6 Ray Serve is built for Multi-model Inference
- 7 Model Composition Requirements
- 8 Solution: Model Composition API
- 9 Model Composition Pattern
- 10 Ray Serve Model Composition API
- 11 Autoscaling for ML Models
- 12 Production Hardening
- 13 Chaos Testing: 99.99% uptime
