Overview
High-throughput LLM serving engine
Best for: High-performance LLM serving; production inference; PagedAttention for throughput; batch processing
At a glance
Pricing
Free
- Difficulty
- Advanced
- Time to productivity
- 2 hours
- Privacy
- High
- Learning curve
- Steep
Ideal for
ML engineersplatform teamscompanies serving LLMs at scaleGPU server operators
Key capabilities
Works with
- Text
- embeddings
Outputs
- OpenAI-compatible API responses
- batch outputs
Mobile access
How to use vLLM on phones and tablets.
- Mobile web: Works in a mobile browser (responsive or dedicated mobile site).
Free Tier
Completely free and open-source (Apache 2.0)
Limits: None (hardware-limited; designed for GPU servers)
When to upgrade: N/A (fully free)
Technical Details
Type: local
Offline: Yes
API: Yes
Languages: Multilingual (depends on model)
Integrations: OpenAI-compatible API, Hugging Face models, Ray (distributed), Kubernetes, LangChain, major frameworks