SGLang is an open-source high-performance serving framework for large language and multimodal models, supporting text, vision-language, and diffusion models across various hardware. It also provides features such as disaggregated prefill/decode, speculative decoding, parallelism strategies, a zero-overhead scheduler, optimized GPU kernels, and OpenAI-compatible API endpoints.