SGLang
A high-performance serving engine notable for fast structured output and efficient KV-cache sharing. Its RadixAttention makes it particularly strong for prefix-heavy RAG and multi-turn chat, where reused context is the main lever.
Strengths
- Efficient KV-cache reuse, strong for RAG and multi-turn chat
- Fast constrained and structured output generation
- OpenAI-compatible API for easy integration
Weaknesses
- Steeper learning curve than a desktop app
- NVIDIA-focused, and needs a GPU to be worthwhile
- A newer project than vLLM, with a smaller community
At a glance
- Licence
- Apache 2.0
- Pricing
- Free
- Platforms
- Linux, Docker
- GPU required
- Yes
Links
Works with
See also
Entry last verified 30 July 2026.