| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
European AI lab offering efficient open-weight and commercial models through a high-performance API. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Mistral Large
- Mistral Small
- Codestral
- Mixtral
- Function calling
- JSON mode
- Fine-tuning
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Strong open-source models
- European data sovereignty
- Competitive pricing
- Fast inference
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Younger company
- Smaller ecosystem
- Fewer enterprise features
|
