Project Title

vllm — High-Throughput, Memory-Efficient LLM Inference and Serving Engine

Overview

vllm is an open-source project designed to provide a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). It aims to democratize LLM serving by offering an easy, fast, and cost-effective solution. vllm stands out with its major architectural upgrades, optimized execution loop, zero-overhead prefix caching, and enhanced multimodal support.

Key Features

High-throughput and memory-efficient LLM inference and serving
Major architectural upgrades for improved performance
Zero-overhead prefix caching for faster execution
Enhanced multimodal support for diverse applications
Clean codebase for easier maintenance and contributions

Use Cases

Researchers and developers using LLMs for natural language processing tasks
Enterprises deploying LLMs at scale for various applications, such as chatbots, content generation, and more
Educational institutions utilizing LLMs for teaching and research purposes

Advantages

Improved speed and efficiency in LLM inference and serving
Cost-effective solution for organizations with limited resources
Enhanced multimodal support for broader application scope
Active community and regular updates for continuous improvement

Limitations / Considerations

As an actively developed project, it may still have some bugs or areas for improvement
The performance may vary depending on the specific LLM and use case
Requires一定的 technical knowledge to set up and optimize for specific use cases

Hugging Face Transformers: A popular library for state-of-the-art NLP models, differing in its focus on model training and inference rather than serving.
LLMOps: A project focused on operationalizing LLMs, differing in its approach to deployment and scaling.
DeepSpeed: A deep learning optimization library, differing in its broader scope beyond LLMs and focus on training rather than inference.

Basic Information

GitHub: https://github.com/vllm-project/vllm
Stars: 57,184
License: Unknown
Last Commit: 2025-09-04

📊 Project Information

Project Name: vllm
GitHub URL: https://github.com/vllm-project/vllm
Programming Language: Python
⭐ Stars: 57,184
🍴 Forks: 9,901
📅 Created: 2023-02-09
🔄 Last Updated: 2025-09-04

🏷️ Project Topics

Topics: [, ", a, m, d, ", ,, , ", c, u, d, a, ", ,, , ", d, e, e, p, s, e, e, k, ", ,, , ", g, p, t, ", ,, , ", h, p, u, ", ,, , ", i, n, f, e, r, e, n, c, e, ", ,, , ", i, n, f, e, r, e, n, t, i, a, ", ,, , ", l, l, a, m, a, ", ,, , ", l, l, m, ", ,, , ", l, l, m, -, s, e, r, v, i, n, g, ", ,, , ", l, l, m, o, p, s, ", ,, , ", m, l, o, p, s, ", ,, , ", m, o, d, e, l, -, s, e, r, v, i, n, g, ", ,, , ", p, y, t, o, r, c, h, ", ,, , ", q, w, e, n, ", ,, , ", r, o, c, m, ", ,, , ", t, p, u, ", ,, , ", t, r, a, i, n, i, u, m, ", ,, , ", t, r, a, n, s, f, o, r, m, e, r, ", ,, , ", x, p, u, ", ]

🎮 Online Demos

here

📚 Documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

vllm

Project Description