Local LLM runnersApache-2.0Python

SGLang

Fast serving framework for LLMs and vision-language models.

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37.2K
Forks
9.6K
Open issues
5.7K
Last commit
2026-10-15

Live from the GitHub API · updated 2026-10-15

What is SGLang?

SGLang is a high-performance serving engine with RadixAttention prefix caching, structured output and a frontend language for complex LLM programs. It is used in production by many AI labs.

Key features

  • RadixAttention prefix caching
  • Fast structured (JSON) decoding
  • OpenAI-compatible server
  • Multi-GPU parallelism

System requirements

Platforms
Linux · Docker
GPU
NVIDIA or AMD data-center GPUs recommended
Python
3.10+

How to install SGLang

Summarized from the project’s README. Projects change quickly — check the GitHub page for the latest instructions.

pip

  1. 1
    Install.
    pip install --upgrade pip
    pip install "sglang[all]"
  2. 2
    Launch a server.
    python -m sglang.launch_server --model-path Qwen/Qwen2.5-7B-Instruct --port 30000

Strengths

  • Excellent performance
  • Great for structured outputs

Limitations

  • Server-oriented

SGLang alternatives compared

SoftwareStarsLicensePlatformsVRAM
SGLang

Fast serving framework for LLMs and vision-language models.

37.2KApache-2.0—
vLLM

High-throughput LLM serving engine with PagedAttention.

93.8KApache-2.0—
llama.cpp

LLM inference in C/C++ — the engine behind most local AI apps.

131.2KMIT—
Ollama

Get up and running with large language models locally.

183.2KMIT—
Jan

Open-source ChatGPT-style desktop app that runs 100% offline.

45KAGPL-3.0—
GPT4All

Private, on-device chat with local document Q&A.

77.4KMIT—

FAQ

Is SGLang free?

Yes — SGLang is open-source software released under the Apache-2.0 license. Check the license (and any model weight licenses) before commercial use.

Does SGLang run on Windows, Mac and Linux?

SGLang supports: Linux, Docker.

What hardware do I need for SGLang?

NVIDIA or AMD data-center GPUs recommended

How do I install SGLang?

1. Install. 2. Launch a server.

What are the best SGLang alternatives?

Popular alternatives include vLLM, llama.cpp, Ollama, Jan. See the comparison table on this page.