S4BOverview
vLLM is a high-throughput LLM inference engine. It uses PagedAttention for efficient memory management, achieving 2-24x higher throughput than naive implementations.
Key Features
- PagedAttention for efficient GPU memory use
- Continuous batching for maximum throughput
- OpenAI-compatible API server
- Support for 50+ model architectures
Use Cases
Used for production LLM serving where throughput and latency matter. Popular as the inference backend for AI startups and enterprises running their own models.
Pricing
Free and open-source (Apache 2.0).
25+
Années systèmes enterprise
24/7
AI-Powered Edge Monitoring
5
Pays d'opération
Top 1%
AI-Assisted Development
Contact
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