| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
An open-source low-code platform for building internal tools with a visual builder and extensive data source connectors. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$40/user/month) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Open source
- Visual builder
- Data source connectors
- JavaScript widgets
- Git sync
- RBAC
- Audit logs
- Custom widgets
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Open source
- Self-hosted option
- Good community
- Many connectors
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- UI can be janky
- Learning curve
- Community support varies
- Fewer pre-built components
|
