| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Run open-source AI models in the cloud with a simple API. Supports thousands of community and official models. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Thousands of models
- Custom model deployment
- Cog containers
- Streaming
- Webhooks
- Fine-tuning
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Huge model library
- Easy deployment
- Pay per second
- Active community
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Cold start latency
- Variable pricing
- Dependent on community models
|
