SGLang
Fast serving with structured outputs
Inference serverInference serverApache-2.0Self-hostedPythonAdvanced
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What is SGLang?
SGLang is a fast serving framework for LLMs and vision-language models, featuring RadixAttention and strong support for structured and programmatic generation.
Why people choose SGLang
- Very fast with RadixAttention caching
- First-class structured / programmatic generation
- Strong vision-language model support
SGLang at a glance
| Category | Inference server |
| Type | Inference server |
| License | Apache-2.0 |
| Runs locally | Self-hosted |
| Built with | Python |
| Skill level | Advanced |
| Best for | teams needing structured-output serving |
Latest releases
Open-source alternatives to SGLang
Other open-source inference server tools worth comparing:
vLLMHigh-throughput serving for production
TGIHugging Face's production text server
LMDeployToolkit for compressing and serving LLMs
Aphrodite EngineHigh-throughput LLM serving
TensorRT-LLMPeak throughput on NVIDIA GPUs
OpenLLMServe any open model as an OpenAI API in one command
KTransformersRun huge MoE models on one consumer GPU
Ray ServeScale model serving across a clusterBentoMLPackage any model into a production APISGLang head-to-head
SGLang vs vLLMSGLang vs TGISGLang vs LMDeploySGLang vs Aphrodite EngineSGLang vs TensorRT-LLMSGLang vs OpenLLMSGLang vs KTransformersSGLang vs Ray ServeSGLang vs BentoML
FAQ
Is SGLang free?
SGLang is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Can I run SGLang locally?
Yes. SGLang is designed to run on your own machine or server, keeping your data private.
What is the best alternative to SGLang?
Popular open-source alternatives include vLLM, TGI, LMDeploy. See the comparisons above to choose.
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