| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
High-speed inference platform optimized for serving open-source models with extremely low latency and high throughput. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Fast inference
- Function calling
- JSON mode
- Grammar mode
- Fine-tuning
- OpenAI-compatible
- Firefunction
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Very fast inference
- Competitive pricing
- Structured output
- Good function calling
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Smaller ecosystem
- Limited model selection
- Newer platform
|
