| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Access Meta's Llama family of open-source large language models through various hosting providers. |
| Pricing |
Pay-per-use ($$-$$$$) |
Free (Free) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Llama 3.1
- Llama 3
- Multiple sizes (8B-405B)
- Open weights
- Commercial license
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Fully open weights
- No API costs
- Customizable
- Strong performance
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Requires self-hosting or third-party
- No official hosted API
- Resource intensive for large models
|
