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SGLang

Inference framework for language and multimodal models, with prefix caching and multi-device serving.

Category · Model developmentCompany / organization · LMSYSProfile updated
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Overview

SGLang is an open-source inference framework hosted by LMSYS for language, vision-language and other models. Install a runtime, load weights and launch a server, then send generation, streaming or tool-calling requests from applications. RadixAttention and prefix caching reuse shared context, while multi-GPU parallelism scales serving. The repository also contains SGLang Diffusion for image and video generation. Check current model, hardware and API compatibility lists.

Official sources and references

Descriptions summarize public information; consult official websites for features, pricing and regional availability.

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