MiniMax shares SGLang's guide to serving live multimodal AI

On October 21st, MiniMax shared a tutorial and code for SGLang-Omni, a runtime designed to coordinate models during ongoing audio conversations, including handling interruptions and changing user input. The post links to SGLang's technical work and does not claim that MiniMax adopted the runtime, contributed to it, or integrated its own models with it.

MiniMax shares SGLang's guide to serving live multimodal AI The tutorial lays out how one runtime can coordinate voice models, interruptions and persistent sessions; MiniMax's post does not claim the company uses it. By RuntimeWire Staff https://runtimewire.com/author/runtimewire-staff · Published Primary source: MiniMax https://x.com/MiniMax AI/status/2112988717963178257 Why it matters Live multimodal products need infrastructure to coordinate models across a conversation, including interruptions and changing user input. MiniMax's link points to that engineering problem but does not show the company uses SGLang-Omni. On October 21st, MiniMax https://www.minimax.io/?ref=runtimewire , founded by Yan Junjie https://ir.minimax.io/corporate-information/management?ref=runtimewire , shared a tutorial and code https://x.com/MiniMax AI/status/2112988717963178257?ref=runtimewire for SGLang-Omni, a runtime designed to coordinate models during ongoing audio conversations. The link points to SGLang's technical work; it is not an announcement that MiniMax adopted the runtime, contributed to it or integrated its models with it.… When you purchase through links in our articles, we may earn a small commission https://runtimewire.com/affiliate-monetization-standards . This doesn’t affect our editorial independence.