Inference servingOpen sourceUpdated 2026
SGLang
Advanced · Inference server/framework
Fast serving framework and programming interface for language model applications.
Best for
Serving modern open models with efficient inference and structured generation workflows.
Why use it
Often worth testing for large MoE models and high-performance serving.
Tradeoffs
Fast-moving project; verify model support and deployment docs for your exact checkpoint.
Key features
- Fast serving
- Structured generation
- Modern model support
Alternatives
vLLM, TGI, llama.cpp
Where it fits
SGLang belongs in the inference serving layer of an open AI stack. Evaluate it against your model runtime, privacy needs, deployment target, and the amount of operational complexity your team can support.
CategoryInference servingLicenseApache 2.0DeploymentInference server/frameworkModeSelf-hosted server
SGLang GitHub →Recommendation
Use SGLang when you are comparing high-performance serving stacks.