SGLang and NVIDIA DGX Spark Featured at InfiniEdge AI Workshop

​Join the LF Edge InfiniEdge AI community during Open Source AI Week 2025 for a fast-paced session on building Generative AI on distributed edge clouds. We’ll share hands-on lessons from open collaboration across LF Edge, LF AI & Data, and the broader OSS ecosystem—covering edge inference, data pipelines, privacy-enhancing techniques, and AI agents running close to users and devices.

​Who Should Attend

​AI/ML engineers, edge/cloud practitioners

​OSS contributors & maintainers

​Product leaders exploring real-world edge GenAI

​What You’ll Learn

​How to run GenAI workloads on geo-distributed edge clouds

​Design patterns for privacy, latency, and reliability

​Practical demos with InfiniEdge AI and related OSS

​Agenda

​Welcome & OS AI Week context (5m)

​InfiniEdge AI updates & roadmap, Tina Tsou, TSC Chair, InfiniEdge AI (LF Edge) (10m)

​Deploy SGLang on NVIDIA DGX Spark, Pen C Li, NVIDIA, Jerry Zhou, SGLang (10m)

​Scaling AI infra and Edge considerations, Ashok Prakash, Oracle (20m)

​Provable Scaling Laws of Feature Emergence from Learning Dynamics of Grokking, https://arxiv.org/abs/2509.21519, Yuandong Tian, ex-Research Scientist Director, Meta (15m)

​Rick Cao, value proposition of GenAI in advertising & marketing, Head of Ads GenAI, Snap (10m)

​Hands on experience of SGLang on Nvidia GPUs, Xinyuan Tong, SGLang will lead this session for participants (40m)

​Q&A and contributor pathways (15–20m)

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​Branding & Attribution This event participates in Open Source AI Week 2025. All logos remain the property of their respective owners. Participation does not imply endorsement or sponsorship by other participants.

​Warm up

​Get familiar with InfiniEdge AI, join the code lab in September: https://luma.com/gqhu086t

​Remote Participation

​https://zoom.us/j/93878974263

​Contact Questions? tinatsou6@gmail.com