| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
High-performance open-source vector search engine with filtering, payload indexing, and distributed deployment support. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Open-source
- Filtering
- Payload indexing
- Distributed
- Quantization
- Snapshot
- Multitenancy
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Fast performance
- Open-source
- Rich filtering
- Good documentation
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Newer ecosystem
- Smaller community
- Self-hosting complexity
|
