vLLM
by vLLM Team · open-source · Last verified 2026-03-17
High-throughput LLM serving engine with PagedAttention for efficient memory management. Provides OpenAI-compatible API, continuous batching, and optimized inference for production model deployment.
https://vllm.ai ↗B+
B+—Good
Adoption: AQuality: A+Freshness: A+Citations: AEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- high-throughput-serving, paged-attention, continuous-batching, openai-compatible-api, tensor-parallelism
- Integrations
- hugging-face, langchain, llamaindex
- Use Cases
- production-serving, batch-inference, model-deployment, api-hosting
- API Available
- Yes
- SDK Languages
- python
- Deployment
- self-hosted, docker, kubernetes
- Rate Limits
- N/A (self-hosted)
- Data Privacy
- Self-hosted, user-managed; no data sent externally
- Tags
- inference, model-serving, high-throughput, paged-attention
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
70.8Adoption
82
Quality
90
Freshness
92
Citations
80
Engagement
0