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MLflow Model Registry vs TrueFoundry AI Gateway

What both publish

FactMLflow Model RegistryTrueFoundry AI Gateway
DeploymentMLflow 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.
PurposeMLflow 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.

MLflow Model Registry plans

  • Open SourceFree

TrueFoundry AI Gateway plans

  • DeveloperFree
  • Pro$499 a month
  • Pro Plus$2,999 a month
  • TrueFoundry Pro (AWS Marketplace)$6,250 a month
  • TrueFoundry Enterprise (AWS Marketplace)$12,500 a month
  • TrueFoundry On-Prem (AWS Marketplace)$16,666.66 a month

Pick MLflow Model Registry if…

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.

Pick TrueFoundry AI Gateway if…

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.

Charts they share