Model Artifact Management & Storage Strategies in MLOps and Production AI
What Are Model Artifacts?
Artifacts include trained weights, configuration files, and evaluation reports.
Best Practices
- Centralized artifact storage
- Version tagging
- Secure access control
Proper artifact management supports deployment and rollback workflows.

