SGLang
Fast serving framework for LLMs and vision-language models
SGLang is a high-performance serving framework for large language and vision-language models. It features a fast runtime with RadixAttention and a flexible programming language for complex LLM applications.
Key features
- RadixAttention caching
- Structured generation
- OpenAI-compatible server
- Multi-GPU scaling
Strengths
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
SGLang replaces
Compare SGLang
30 head-to-head comparisons.
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