AI Infrastructure & Deployment
Model Serving
Deploying trained models as services that can handle prediction requests in production environments.
Related Concepts
- Inference: Explore how Inference relates to Model Serving
- Deployment: Explore how Deployment relates to Model Serving
- API: Explore how API relates to Model Serving
- MLOps: Explore how MLOps relates to Model Serving
Why It Matters
Understanding Model Serving is crucial for anyone working with ai infrastructure & deployment. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
ai-infrastructure-deployment inference deployment api