Radiant AI Cloud Model Registry

Paid#24 of 34 in Model Registry Software

Radiant AI Cloud Model Registry: A focused registry for versioning custom models and deploying them to Radiant endpoints. Ranked #24 of 34 in Model Registry Software by our editors (6.1/10); pricing: Paid; best for teams deploying models through Radiant endpoints.

6.1/10★★★☆☆Editor score

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At a glance

• Editor score
  6.1 / 10
• Pricing
  Paid
• Best for
  Teams deploying models through Radiant endpoints
• Facts checked
  23 Sep 2026

• Where it wins

  • Tracks model versions and states in both UI and CLI
  • Uploads weights and fine-tuning checkpoints into registries
  • Makes available versions deployable to Radiant endpoints

• Where it doesn't

  • Deployment handoff is limited to Radiant endpoints
  • Registry functions focus on core model lifecycle workflows
  • Operates within Radiant AI Cloud rather than as standalone software

Our verdict on Radiant AI Cloud Model Registry

Radiant AI Cloud Model Registry is a centralized repository for custom AI models within Radiant AI Cloud. Teams can create registries, choose storage locations and preferred GPU types, then manage model artifacts and versions for deployment. The service is aimed at organizations—from small teams to enterprises—that plan to serve models through Radiant endpoints. It runs as a cloud deployment while offering web, Windows, macOS, and Linux access, with model versioning, artifact storage, and deployment tracking included.

Its workflow covers the main handoffs between storage and serving. Users create models with registry assignments and compatible GPU preferences, upload weights through the Radiant CLI, and monitor upload progress in the UI or CLI. Version states such as Uploaded, Synchronizing, and Available provide operational status, while completed fine-tuning jobs can be added as model versions. Radiant describes its cloud services as usage-based, and the registry is part of that broader platform rather than a separately priced registry product.

The strongest fit is for teams already standardizing on Radiant infrastructure and wanting a direct path from custom weights or fine-tuning outputs to Radiant endpoints. Support is available through tickets and documentation. The narrower focus matters: deployment readiness is tied to Radiant endpoints, and the product does not present itself as a broad, standalone registry ecosystem. Organizations serving models on other platforms, or seeking a registry independent of Radiant AI Cloud, should evaluate alternatives with wider deployment targets.

Your product? Our editors can test Radiant AI Cloud Model Registry in depth and publish a review, labelled as paid · from $149/mo →

Radiant AI Cloud Model Registry pricing

Radiant AI Cloud Model Registry fact sheet

Alternatives to Radiant AI Cloud Model Registry

• SAS Model ManagerA governance-focused registry for managing models from versioning through monitoring.9.3
• Cloudera AI RegistryA focused model registry for teams operating machine learning workflows in Cloudera AI.9.2
• MLflow Model RegistryAn open registry for versioning, lineage, approvals, aliases, and model promotion.8.9

See all Radiant AI Cloud Model Registry alternatives →

Featured on iTechGuides

Radiant AI Cloud Model Registry is listed in our Model Registry Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update