Infrastructure
Model Registry
A version-controlled library where all trained models are stored, tracked, and managed, like Git for AI models.
Definition
A centralized repository for storing, versioning, and managing trained ML models. Tracks model metadata, performance metrics, and deployment status. Enables reproducibility and governance.
Why it matters
Without a registry, teams lose track of which model is in production, how it was trained, and who approved it.
Related terms in Infrastructure
API
A digital plug or messenger that lets two different software programs talk to each other.
API Gateway
The security guard at the front door of your software that checks IDs and directs traffic.
Cloud Computing
Renting powerful computers over the internet instead of buying and keeping them in your own office.
Edge AI
Running AI directly on the device (phone, camera, car) instead of sending data to the cloud, faster and more private.
From vocabulary to outcomes
Ready to put Model Registry to work?
Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
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