Side by side
Cloudera AI Registry vs Radiant AI Cloud Model Registry
Both stand on model registry software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Cloudera AI Registry brings model lifecycle capabilities and deployment choices together in a web offering for enterprise AI work. Review the cloud usage rate alongside extra infrastructure and networking costs, or request pricing details for the on-premises subscription.
Visit Cloudera AI RegistryChoose Radiant AI Cloud Model Registry if your team wants model versions, artifact storage, and a path from fine-tuning checkpoints to deployment. It is a paid service, and uploads use the RAIC CLI, so teams seeking a browser-only upload route should look elsewhere.
Visit Radiant AI Cloud Model RegistryThe facts
| Cloudera AI Registry | Radiant AI Cloud Model Registry | |
|---|---|---|
| Free plan | Not published | Not published |
| Open source | Not published | Not published |
| Runs on | Web | API, Linux, Mac, Web, Windows |
| Lowest paid plan | AI Workbench (cloud): $0.20 a month | Not published |
| Plans published | 2 | None |
| Maker | Not published | Not published |
| Website | cloudera.com | docs.ori.co |
| On model registry software | #37 of 42 | #33 of 42 |
Cloudera AI Registry: what it does well
- Offers hosted notebooks and workflow automation.
- Includes model versioning, lineage, and deployment tracking.
- Supports Python, R, Scala, and Spark.
- Cloud and on-premises deployment options are listed.
What to know first
- No free plan.
- Infrastructure and networking costs are additional for the cloud plan.
Radiant AI Cloud Model Registry: what it does well
- Supports model versioning, deployment tracking, and artifact storage.
- Completed fine-tuning jobs add checkpoint versions to the registry automatically.
- Users can create registries and choose model-weight storage locations.
- Preferred GPU types help match models to compatible available GPUs.
- Fine-tuning supports public Hugging Face and custom datasets.
What to know first
- Model weights must be uploaded through the RAIC CLI.
- The service is paid.
- The supported custom dataset formats are .jsonl and .csv with prompt and completion columns.
Alternatives to Cloudera AI Registry Alternatives to Radiant AI Cloud Model Registry The whole list