vLLM
Featured Open SourceHigh-throughput LLM inference engine with PagedAttention
vLLM is an open-source, high-performance LLM inference and serving engine. It uses PagedAttention for efficient KV-cache management, achieving 24× higher throughput than Hugging Face Transformers for production serving.
Product Overview
Use Cases
- High-Throughput LLM Serving
- Production Inference
- Batch Inference
- Multi-GPU Serving
Ideal For
ML Platform EngineersAI Infrastructure TeamsEnterprise AI Teams
Architecture Fit
Enterprise ReadySelf HostedCloud NativeAPI FirstMulti-Agent CompatibleKubernetes SupportOpen Source
Technical Details
- Deployment Model
- self-hosted
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