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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...

286,622 просмотров • 14 дней назад •via X (Twitter)

Комментарии: 4

Фото профиля SGLang
SGLang14 дней назад

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 👇

Фото профиля SGLang
SGLang14 дней назад

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)!

Фото профиля catman
catman14 дней назад

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.

Фото профиля gQ
gQ14 дней назад

No thanks bro, no meta products for me

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