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LMSYS Launches the SGLang Consortium With Eight Founding Members Including NVIDIA and AMD: The First SGLang Summit Runs November 12 to 13 in San Francisco

Thursday, November 12, 2026 · Technology · GSM News

LMSYS Org, the nonprofit behind the open-source AI engine SGLang, announced on November 12, 2026, the launch of the SGLang Consortium, with founding members NVIDIA, AMD, Intel, Google, Meta, Cloudflare, Modal and RadixArk, who will work with SGLang's maintainers to help shape the project's roadmap and advance open-source AI inference. The consortium was announced in the opening keynote of the inaugural SGLang Summit, held November 12 to 13 at the Fort Mason Center for Arts & Culture in San Francisco, with more than 100 speakers from across AI hardware, models, infrastructure and applications taking part. Citing Deloitte, LMSYS said inference is expected to account for roughly two-thirds of all AI compute in 2026, up from about half in 2025. SGLang, the full-stack inference engine for frontier AI and part of the PyTorch ecosystem, runs on hundreds of thousands of GPUs and powers large production inference deployments for companies including Meta, Microsoft, Google, Amazon, Thinking Machines Lab, Cloudflare, Reflection and Modal. The consortium gives members a standing forum to discuss emerging inference trends with SGLang's maintainers and turn shared priorities into joint engineering work, focused on frontier model support, reasoning and multimodal workloads, distributed inference and hardware optimization. Each founding member will designate a technical representative and join two roadmap meetings a year, contributing engineering expertise, deployment feedback, testing resources or joint development, while SGLang's maintainers keep responsibility for technical decisions and code acceptance and the project stays open to the entire community. Ian Buck, NVIDIA's vice president of hyperscale and high-performance computing, said NVIDIA is proud to be a founding member and to work with the community to advance open inference software.

(Source: LMSYS Org)

Source: LMSYS Org

Published by GSM · USA (original Chinese edition)

Photo: 图:数据中心机房内的服务器机柜。123net,CC BY-SA 3.0,经 Wikimedia Commons。 / Photo: 123net, CC BY-SA 3.0, via Wikimedia Commons.

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