Skip to content
View original post on X: LMSYS OrgOfficial
Published
29/100

ByteDance explains faster open-model inference on Hopper with SGLang

AIByteDance engineer Ho-Ren (Jack) Chuang shares the attention, MoE, and speculative decoding work behind faster open-model inference on Hopper GPUs using SGLang. The post covers these three areas, which the source does not quantify with speedup figures.
LMSYS OrgVerified on XOfficial
@lmsysorg
View on X

Part of a thread · earlier post

5 | ByteDance
Making Frontier Open Models Fast on Hopper with SGLang

Ho-Ren (Jack) Chuang shares the attention, MoE, and speculative decoding work behind faster open-model inference on Hopper.

Source details

LMSYS Org · x.comPublished · added here

Original title: 5 | ByteDance