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| SGLang Summit 2026 By LMSYS
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| With Lip-Bu Tan (CEO, Intel), Lilian Weng (Member of Technical Staff, OpenAI), Soumith Chintala (CTO, Thinking Machines), Aravind Srinivas (Co-Founder & CEO, Perplexity), Bill Jia (VP of Engineering - Core ML/AI, Google), Luis Ceze (VP, AI Systems Software, Compilers, NVIDIA), Ujval Kapasi (VP, AI & HPC Frameworks and Libraries, NVIDIA), Colin Brace (VP, Annapurna Labs, AWS), Igor Babuschkin (Founder & CEO, River), Liam Fedus (Founder, Periodic Labs), Eric Zelikman (Founder & CEO, Humans&)
Tudor Achim (Co-Founder & CEO, Harmonic), Mark Saroufim (Co-Founder, Meta), Yuan Dong Tian (Co-Founder, Recursive), Yoland Yan (Co-Founder & CEO, Gently), Qi Jin (EVP, Cerebras), Horace He (Founding Engineer, Thinking Machines), Simon Shaolei Du (Lead Scientist for Reasoning Models & Training, Apodex), Ziang Li (Member of Technical Staff, Humans&). |
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Nov 12 (Thu) @ 09:00 AM
$649
| | Fort Mason Center, 2 Marina Blvd, SF
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Two days with the people shaping frontier AI.
SGLang Summit 2026 brings the whole AI stack to one stage: the teams building next-generation chips, the labs training open & frontier models, the engineers running them in production, & the founders putting them to work.
Join 2,000+ engineers, researchers, builders, & leaders for two days of talks, deep dives, & workshops across frontier AI infrastructure on Nov 12-13, at Fort Mason, San Francisco
Meet the Speakers
Lip-Bu Tan (Intel) Lilian Weng (OpenAI) Soumith Chintala (Thinking Machines Lab) Aravind Srinivas (Perplexity), & more
Highlights from Main Stage
Nov 12
Opening Keynote: SGLang Ecosystem. What's next for SGLang & the ecosystem, spanning training & inference, broader hardware support, production infrastructure, & image & video generation.
Open Models. The people building today's leading open models on what they've learned the hard way: which bets paid off, which assumptions broke, & where the next generation is going.
RSI (Recursive Self-Improvement). From models that help train their successors to systems that rewrite their own kernels, dive deep into the research, the training methods, the hard limits, & the questions no one has answered, or even asked, yet.
AI Hardware. Perspectives on the next generation of AI hardware, covering GPUs, custom AI accelerators, system design, & the changing compute requirements of training & inference, with a candid conversation about squeezing more performance & efficiency out of every watt.
Nov 13
AI Agent. Personalized intelligence, agent harnesses, & software factories: how agents are changing software development, everyday work, & scientific research. Find out what's working, what's breaking, & what caught us off guard.
Neo Labs. Research perspectives from emerging AI labs, covering the questions guiding their work, their technical approaches, & new directions they are pursuing.
AI Applications. Lessons from building AI products for consumers & enterprises, from product design & deployment to integration into everyday workflows.
Physical Intelligence. Advances in robotics & world models, including learning, prediction, & action in physical environments, alongside alternative approaches to intelligence beyond LLMs.
Across Both Days
Explore the GPU Expo & exhibitor booths for live demos & conversations with the teams behind the products. Join technical breakouts & hands-on workshops, share your latest project on the Open Stage, & meet potential collaborators. Lounges, coffee chats, & community meetups offer space to exchange ideas & keep the conversations going between sessions.
Topics include models, reinforcement learning, AI hardware, cloud infrastructure, generative media, creator tools, interactive models, evaluation, local AI, AI applications, robotics & world models, production stack, & recommendation systems.
Plus a variety of community events. Stay tuned.
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