sglang-supports-multimodal-model-inference
IN premise — summaries/2026/08/24/wiki-Large_language_model-chunk-4.md
Created 2026-08-24T17:11:16+00:00
SGLang is an inference engine that explicitly supports both text LLMs and multimodal models, with a focus on structured generation, distinguishing it from text-only serving frameworks
Summary
SGLang can serve not only standard text language models but also models that process images, audio, or other media alongside text, all through a single serving stack. This matters practically because it means a deployment can handle both chat-style and multimodal workloads without needing separate infrastructure for each model type.