Загрузка видео...
Не удалось загрузить видео
Muse Spark Open is built to plan, act, and use computer across agentic tasks for life and work. You can now build a powerful personal AI agent with an open stack, and SGLang to make it: - Ultra-responsive with NVFP4 MegaMoE and sequence parallelism - Faster for agentic and... show more
286,622 просмотров • 14 дней назад •via X (Twitter)
Комментарии: 4

For agentic workloads on 8×B300, SGLang delivers over 540 tokens/s per user at batch size 1, while sustaining over 60 tokens/s per user with 128 concurrent requests. With Miles, we improved Geometry3K accuracy from 88.2% to 94.9% in just 30 training updates. Read our technical blog for details 👇

Deploy Muse Spark Open on NVIDIA, AMD, and Intel hardware with the SGLang Cookbook! For the first time, SGLang has day-0 support for @Google TPUs via sglang-torchtpu (more details coming soon)!

An open agent stack is like a workshop with interchangeable tools: SGLang speeds the workbench, DFlash2 helps draft faster, and Miles lets you customize the tools for the job.

No thanks bro, no meta products for me

