| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Fast inference and fine-tuning platform for open-source models with competitive pricing and OpenAI-compatible endpoints. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- 100+ models
- Fine-tuning
- Custom models
- OpenAI-compatible
- Fast inference
- Dedicated endpoints
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Wide model selection
- Competitive pricing
- Easy fine-tuning
- Fast inference
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Smaller ecosystem
- Variable availability
- Limited enterprise features
|
