MLflow Model Registry
6.2#9 in model registry softwareFree planFree planWebAPILinuxSelf-hosted
Visit| Fact | MLflow Model Registry | TrueFoundry AI Gateway |
|---|---|---|
| Deployment | MLflow provides an official Helm chart for deploying a self-hosted instance on Kubernetes. | The gateway supports SaaS and, for Enterprise, VPC, on-premises and air-gapped deployment options. |
| Purpose | MLflow Model Registry is a centralized model store, API, and UI for managing the lifecycle of machine learning models. | TrueFoundry AI Gateway sits between applications and model providers to manage AI model access, routing, governance, observability, security and cost controls. |
The registry suits solo data scientists as well as large machine-learning platform teams. It is relevant to teams that need model versioning, lineage, or deployment workflows.
It suits teams that need a shared gateway to manage model access, routing, usage, and governance. Enterprise deployment options may suit organizations that need VPC, on-premises, or air-gapped hosting.