SGLang Summit 2026 by LMSYS

2026-11-12 · 09:00:00 · San Francisco

Fort Mason Center, 2 Marina Blvd, San Francisco, CA 94109, USA

Fort Mason Center, San Francisco

Hosted by LMSYS Org at Fort Mason Center, this multi-day summit explores SGLang, open-source AI models, infrastructure, hardware, and emerging research.

Get up-to-date information at: https://luma.com/sglang-summit

Address: Fort Mason Center San Francisco, CA United States

Hosted by LMSYS Org

Founder brief

Who should attend

Technical founders and engineering leaders building AI infrastructure, agent frameworks, or open-weight models will find the agenda directly applicable. Teams managing complex training, inference pipelines, or custom hardware accelerators should attend for practical engineering takeaways.

What happens

Programming spans keynotes and deep dives starting at 9:00 AM. Sessions cover the SGLang ecosystem, open models, recursive self-improvement, and hardware on the first day, followed by agents, emerging lab research, enterprise AI applications, and physical intelligence robotics on day two.

Who's in the room

Around 2,000 engineers, researchers, builders, and leaders gather for the summit. Confirmed speakers taking the stage include Aravind Srinivas from Perplexity, Lilian Weng from OpenAI, Lip-Bu Tan from Intel, and Soumith Chintala from Thinking Machines Lab.

How to prepare

With no formal pitching opportunities scheduled, conversations will center on technical architecture, infrastructure bottlenecks, and model deployment. Review your current inference stack and hardware constraints beforehand so you can engage productively during open discussions with research and systems peers.

Organizer: SGLang Meetups and Events

Register

At a glance

Tickets
209 usd
Attendance
2,000+ engineers, researchers, builders, and leaders
Sectors
Ai ml

Agenda

  1. Nov 12 · Opening Keynote: SGLang Ecosystem — What's next for SGLang and the ecosystem, spanning training and inference, broader hardware support, production infrastructure, and image & video generation.
  2. Nov 12 · Open Models — The people building today’s leading open models on what they’ve learned the hard way.
  3. Nov 12 · RSI (Recursive Self-Improvement) — Dive deep into the research, the training methods, the hard limits, and the questions no one has answered.
  4. Nov 12 · AI Hardware — Perspectives on the next generation of AI hardware, covering GPUs, custom AI accelerators, system design, and compute requirements.
  5. Nov 13 · AI Agent — Personalized intelligence, agent harnesses, and software factories.
  6. Nov 13 · Neo Labs — Research perspectives from emerging AI labs.
  7. Nov 13 · AI Applications — Lessons from building AI products for consumers and enterprises.
  8. Nov 13 · Physical Intelligence — Advances in robotics and world models.

Speakers, judges and hosts

  • Aravind Srinivas — Perplexity (Speaker)
  • Lilian Weng — OpenAI (Speaker)
  • Lip-Bu Tan — Intel (Speaker)
  • Soumith Chintala — Thinking Machines Lab (Speaker)

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