YottaLabs describes MoE model support and latency work on SGLang-Trainium

YottaLabs chief scientist Dong Li shares the team's work on SGLang-Trainium, according to a post from the SGLang project account on X. The work adds support for new mixture-of-experts (MoE) models to SGLang and optimizes inference latency for those models on AWS Trainium chips.

The report is a relayed post and gives no benchmark figures, model names, or release details.