Seldon Core
Definition
Infrastructure for operating machine learning models.
Seldon Core is a framework for deploying and organizing models and inference workflows in production environments.
Simply explained
An operational framework connects models, requests, and monitoring.
Why it matters in practice
Multiple model components can be deployed with traceable operational rules.
Example from business
A hypothetical team operates different classification models via jointly organized endpoints.
Limits and pitfalls
- Operational effort and architecture differ by version; a framework does not replace capacity and security planning.
Origin & history
Seldon Core is part of the MLOps ecosystem for model deployment.
Use in mid-sized companies
- Clarify infrastructure requirements and ongoing responsibilities for the chosen version.
Frequently asked questions
Is Seldon Core a ready-made domain model?
No, it provides models and workflows.
Sources
Editorially reviewed on: