Next-Gen AI Hardware, Infrastructure, Frontier Models, and Applications on Center Stage at SGLang Summit

Business Wire

LMSYS Org, the nonprofit behind the open-source AI engine SGLang, today announced the speakers and program for the SGLang Summit 2026, taking place November 12–13 at the Fort Mason Center for Arts & Culture in San Francisco. The two-day conference brings together researchers, engineers, founders and open-source contributors to explore developments across AI hardware, models, infrastructure and applications. Over 100 speakers will join the conference, including Intel CEO Lip-Bu Tan, OpenAI’s Lilian Weng, Thinking Machines Lab CTO Soumith Chintala, and Perplexity CEO Aravind Srinivas. More than 2,000 attendees are expected.

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SGLang Summit 2026

Themed “Open Foundations for the Next Era of AI,” the summit spans virtually the entire AI stack, combining main-stage conversations, technical breakout sessions and hands-on workshops. The program covers frontier models, AI agents and recursive self-improvement, alongside applications in robotics, world models, generative media and more.

Attendees can explore technical topics in depth through breakout tracks covering reinforcement learning, AI hardware, local AI and more. Hands-on workshops will give participants practical experience with model serving and training. The program offers opportunities to hear directly from the researchers and engineers developing these technologies and learn how teams across the AI ecosystem approach their work.

“Building useful AI systems takes work across hardware, infrastructure, models and applications,” said Ying Sheng, co-author of the original SGLang paper and co-founder and CEO of RadixArk. “SGLang’s community brings many of those teams together. The summit gives them a place to share what is working, discuss the problems they are encountering and learn from one another.”

Selected Program Highlights

Main-stage sessions will include:

A fireside chat with Intel CEO Lip-Bu Tan on the next generation of AI hardware.
A fireside chat with Lilian Weng, OpenAI researcher and author of Lil’Log, on recursive self-improvement.
Thinking Machines Lab CTO and PyTorch co-creator Soumith Chintala on frontier models.
Perplexity co-founder and CEO Aravind Srinivas on AI agents.
A panel on recursive self-improvement featuring Recursive co-founder Yuandong Tian and Core Automation co-founder Mark Saroufim.
A session with founders of emerging AI labs, featuring River AI’s Igor Babuschkin, humans&’s Eric Zelikman and Periodic Labs’ Liam Fedus.
Sessions on AI applications and physical intelligence, including robotics and world models.

Featured Speakers

Lip-Bu Tan, CEO, Intel
Lilian Weng, Member of Technical Staff, OpenAI
Soumith Chintala, CTO, Thinking Machines Lab, and co-creator of PyTorch
Aravind Srinivas, Co-founder and CEO, Perplexity
Bill Jia, VP of Engineering, Core ML/AI, Google
Luis Ceze, VP, AI Systems Software, Compilers, NVIDIA
Christos Kozyrakis, Professor of EE & CS, Stanford University
Ujval Kapasi, VP, AI & HPC Frameworks and Libraries, NVIDIA
Colin Brace, VP, Annapurna Labs, AWS
Ying Sheng and Banghua Zhu, Co-founders, RadixArk

They are joined by leading voices from Meta, Cerebras, Harmonic, LinkedIn, Cloudflare, Samsung, DigitalOcean and more.

Beyond the main stage, attendees can choose from 13 technical breakout tracks, from reinforcement learning and AI hardware to local AI and generative media. Hands-on workshops include training with Miles, RadixArk’s open-source reinforcement learning framework. A GPU Expo, where attendees can see the latest generation of hardware on display, an Open Stage for early demos, and community events hosted by sponsors and partners round out both days.

Platinum sponsors are Google, Intel, NVIDIA, Meta, AMD, and RadixArk, joined by more than 30 additional sponsors, including AWS, Microsoft AI, and Samsung.

Registration is open at sglang.io/summit.

About LMSYS Org

LMSYS Org, the Large Model Systems Organization, is a nonprofit that develops open and scalable models and systems. Its projects have included SGLang, FastChat, Vicuna and Chatbot Arena. SGLang is an Apache 2.0-licensed framework for serving large language and multimodal models, used by companies including Google, Meta, Microsoft, NVIDIA, LinkedIn and xAI.

Learn more at lmsys.org and sglang.io.

About RadixArk

RadixArk is an AI infrastructure company building systems for inference and training. Founded by Ying Sheng and Banghua Zhu, its team includes creators and core maintainers of the open-source projects SGLang and Miles. The company builds on SGLang for model serving and Miles for reinforcement learning and post-training, and develops managed infrastructure and tooling for AI teams. RadixArk raised $100 million in a seed round led by Accel and co-led by Spark Capital.

Learn more at radixark.com.