vLLM
by Open Source (UC Berkeley)
High-throughput LLM serving engine
Pricing
Free
Difficulty
advanced
Time to Start
2 hours
Privacy
high
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)
Use Cases
High-performance LLM serving; production inference; PagedAttention for throughput; batch processing
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
Ideal For
ML engineersplatform teamscompanies serving LLMs at scaleGPU server operators
Supported Content
Textembeddings
Output Formats
OpenAI-compatible API responsesbatch outputs