Vllm High Throughput Llm Serving

---
name: "vLLM High-Throughput LLM Serving Engine with PagedAttention"
slug: "vllm-high-throughput-llm-serving"
description: "vLLM is a fast and memory-efficient inference and serving engine for large language models. It uses PagedAttention for efficient memory management, supports continuous batching, and provides an OpenAI-compatible API server for production-grade LLM deployment."
github_stars: 75090
verification: "listed"
source: "https://github.com/vllm-project/vllm"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "vllm-project/vllm"
  github_stars: 75090
---

# vLLM High-Throughput LLM Serving Engine with PagedAttention

vLLM is a fast and memory-efficient inference and serving engine for large language models. It uses PagedAttention for efficient memory management, supports continuous batching, and provides an OpenAI-compatible API server for production-grade LLM deployment.

## Installation

No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.

- Source: https://github.com/vllm-project/vllm

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/vllm-high-throughput-llm-serving/)