| 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 and deploying internal tools with a drag-and-drop interface and pre-built integrations. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$20/user/month) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Drag-and-drop builder
- 40+ data sources
- Custom JavaScript
- Git sync
- Multi-environment
- Audit logs
- SSO
- Self-hosted
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Open source
- Many data source connectors
- Self-hosted option
- Good community
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- UI can be buggy
- Documentation gaps
- Smaller team
- Enterprise features limited
|
