product
Data quality: Editorially ReviewedLanguage (LLM / NLP)
Free
MLOps & Infrastructure
Software & technology
Workflow orchestration
Self-hosted / on-premises
Developer tool
vLLM
MLOps & Infrastructure
Overview
vLLM is an open-source LLM inference engine that provides high-throughput and memory-efficient serving through PagedAttention. It supports continuous batching, tensor parallelism, and multiple model architectures. vLLM is designed for production LLM serving with optimized memory management, enabling 2-4x higher throughput compared to standard Hugging Face transformers.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises
- Regions served
- Global
- Categories
- Language (LLM / NLP), Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, Developer tool
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
Self-hosted / on-premises
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- vllm.ai
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.