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MLRun vs TrueFoundry AI Gateway

MLRun logo

MLRun

6.6#6 in model registry softwareFree plan
Free planWebAPILinuxmacOS
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What both publish

FactMLRunTrueFoundry AI Gateway
DeploymentMLRun supports multi-cloud, hybrid and on-premises deployment options with built-in observability.The gateway supports SaaS and, for Enterprise, VPC, on-premises and air-gapped deployment options.
Deployment optionsThe documented deployment options are Kubernetes, an AWS cluster, an Azure AKS cluster and Iguazio's managed service.The product is offered as SaaS and can also run in a customer VPC, on premises or in an air-gapped environment.
PurposeMLRun is an open-source AI orchestration framework for managing machine-learning and generative-AI applications across their lifecycles.TrueFoundry AI Gateway sits between applications and model providers to manage AI model access, routing, governance, observability, security and cost controls.
SupportThe open-source offering includes community support, while managed MLRun includes 24/7 enterprise support, service monitoring and log management.The listed support options are an in-app chatbot and Discord for Developer, a support portal for Pro, and priority support, SLA and a dedicated Slack channel for Enterprise.

MLRun plans

  • Open Source MLRunFree
  • Managed MLRun on IguazioPriced on request

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 MLRun if…

You want what its maker publishes above — check its page for the details.

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