| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Framework and platform for building LLM-powered applications with chains, agents, and retrieval-augmented generation. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Chains
- Agents
- RAG
- LangSmith
- LangServe
- Tool use
- Memory
- LangGraph
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Comprehensive framework
- Large community
- Great integrations
- Active development
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Rapid API changes
- Complexity
- Over-abstraction
- Breaking changes
|
