Side by side
Radiant AI Cloud Model Registry vs W&B 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.
Paid APILinuxMac+2
Choose 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 Registry Free plan LinuxMacWeb+1
Visit W&B Registry The facts
| Radiant AI Cloud Model Registry | W&B Registry | |
|---|---|---|
| Free plan | Not published | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Mac, Web, Windows | Linux, Mac, Web, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | docs.ori.co | wandb.ai |
| On model registry software | #23 of 36 | #19 of 36 |
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.
W&B Registry: what it does well
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