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SGLang

Free

Fast structured generation and serving runtime for LLMs.

Open SourceAPISelf-hostedPython SDK

Tool Info

Categories
Serving · Infrastructure
Official Website
sgl-project.github.io
Repository
sgl-project/sglang
Official Docs

Overview

SGLang is a serving framework optimized for structured LLM generation.

Uses RadixAttention for efficient KV cache reuse.

Pricing

Free tier available
Free (open source)

Pros

  • Very fast inference
  • Structured output focus
  • Strong benchmarks

Best For

Structured generationHigh-performance servingRadixAttention workloads

When NOT to Use

  • Newer than vLLM
  • Smaller community

Related Tools

Ollama
Local model runner with simple command and HTTP interface.
vLLM
High-throughput LLM inference engine with PagedAttention.
LM Studio
Desktop app for running local LLMs with a chat interface.

Alternatives

vLLM
High-throughput LLM inference engine with PagedAttention.
TensorRT-LLM
NVIDIA library for optimized LLM inference on TensorRT.

Often Compared With

vLLM
High-throughput LLM inference engine with PagedAttention.
TensorRT-LLM
NVIDIA library for optimized LLM inference on TensorRT.

Compare With

Compare with vLLMCompare with TensorRT-LLM

Tags

#inference#serving#structured-outputs

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