Project Title

sglang — Fast Serving Framework for Large Language and Vision Language Models

Overview

SGLang is a high-performance serving framework designed to handle large language models (LLMs) and vision language models efficiently. It stands out for its ability to serve trillions of tokens daily, offering day-0 support for OpenAI models and integration with the PyTorch ecosystem. SGLang is recognized for its advanced features like zero-overhead batch scheduler and cache-aware load balancer, making it a robust choice for deploying and scaling LLMs.

Key Features

High-performance serving infrastructure for LLMs and vision language models
Supports OpenAI gpt-oss model with day-0 support
Integration with PyTorch ecosystem for efficient LLM serving
Zero-overhead batch scheduler and cache-aware load balancer for optimized performance

Use Cases

Researchers and developers using large language models for natural language processing tasks
Enterprises requiring high-throughput and low-latency serving of vision language models
AI startups and projects leveraging OpenAI models for rapid deployment and scaling

Advantages

Supports a wide range of models, including OpenAI gpt-oss and DeepSeek models
Offers high throughput and low latency, crucial for large-scale AI applications
Actively maintained with regular updates and a strong community backing

Limitations / Considerations

The project's license is currently unknown, which might affect its adoption in certain commercial settings
As a specialized framework, it may require specific expertise to implement and optimize effectively

Hugging Face Transformers: A library of pre-trained models for NLP, differing in its focus on model training and inference rather than serving infrastructure.
TensorFlow Serving: A flexible, high-performance serving system for machine learning models, offering a broader range of model support but potentially less specialized for LLMs.
PyTorch Lightning: A lightweight PyTorch wrapper for rapid development of high-performance AI models, differing in its focus on model development rather than serving.

Basic Information

GitHub: https://github.com/sgl-project/sglang
Stars: 17,720
License: Unknown
Last Commit: 2025-09-08

📊 Project Information

Project Name: sglang
GitHub URL: https://github.com/sgl-project/sglang
Programming Language: Python
⭐ Stars: 17,720
🍴 Forks: 2,864
📅 Created: 2024-01-08
🔄 Last Updated: 2025-09-08

🏷️ Project Topics

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