Events

Join SGLang and MetaX for a technical meetup featuring talks on cache, plugins, and other topics in AI infrastructure.

Join SGLang at the 2nd Workshop on Lifelong Agents at COLM 2026, exploring how agents can continuously learn, stay aligned, and evolve over long-term deployment. Catch an invited talk from RadixArk, plus oral presentations and poster sessions on agentic RL, memory, and evaluation.

Join SGLang at MiniMax's SF Tech Week research night on recursive self-improvement. Catch a talk on Miles and scalable RL post-training, followed by an open discussion, food, and networking with AI researchers and builders.

Join SGLang at this AI infrastructure meetup for talks on RL infrastructure, agent sandboxes, and the compute and storage systems behind training and inference.

SGLang Dev Meeting: KV Cache Compression in SGLang

The AI stack is rapidly expanding beyond the model. Join us during SF Tech Week for a moderated conversation featuring leaders from Artificial Analysis, Nous Research, and SGLang. Together, they’ll explore the open-source technologies shaping how the next generation of AI products is built and scaled.

Join SGLang at Runtime, Modal’s conference for engineers working on AI in production. Catch an SGLang talk and meet the team at the Genius Bar for technical discussions and Q&A throughout the day.

Join us at Fully Connected 2026 to see Miles post-train a Nemotron coding agent using NVIDIA NeMo Gym, running on CoreWeave nodes.

Join us at AI Engineer Paris to learn how SGLang and Miles enable scalable large-model deployment through optimized inference, cross-hardware portability, and RL post-training.

Join Baidu AI Cloud and SGLang for a technical meetup on production-ready agentic inference, featuring context caching, system optimization, and real-world deployment practices.

Visit SGLang at the Agentic OS open-source showcase, a three-day event running September 22–24, where you can meet the team, explore our latest work, and pick up event swag.

Building the AI Stack: Models, Infrastructure, Inference, Agents & Graphs

SGLang joins AICC 2026 with a main-stage talk and a dedicated afternoon track exploring kernel optimization, agentic inference, production deployment, and hands-on demos.

Join SGLang at NVIDIA’s Open-Source AI Ecosystem Meetup to explore efficient DeepSeek-V4 inference with million-token contexts.

Join us at AI Infra Summit for three days of conversations on AI infrastructure and inference. Visit our booth to meet the team and pick up our latest brochure and event swag.

Join Nvidia, Baseten, and SGLang for an evening of technical discussions and high-signal networking in the Bay Area! We're bringing together AI infra engineers, builders, and researchers to explore the latest in GPU acceleration, inference optimization, and scalable production deployment.

Explore efficient, scalable inference infrastructure for agentic AI at the conference’s Green Computing Forum.

We are organizing an ECCV 2026 Tutorial: Efficient MLLM Inference via Approximate and Exact Computing Efficient Multimodal Large Language Model Inference driven by Approximate and Exact Computing. Recording passcode: 54MoJ9*&

Join Code2Create, a student hackathon in India co-hosted with SGLang — build and ship real-world AI projects powered by open-source inference.

We’re back for another exciting event on Tuesday, August 25, 2026, this time in partnership with SGLang, Hugging Face, and the San Francisco community.

Together with Crusoe and dstack, we’re hosting an AI infrastructure meetup in San Francisco for engineers, researchers, and builders working on GPUs, training, inference, and open-source AI systems.

Join a select group of founders, engineers, operators, and investors who are Advancing AI. Expect a few lightning talks with live demos from teams shipping real AI-native workloads, then drinks, bites, and the good kind of hallway conversation.

The Ant Group team and SGLang are hosting an AGI Coffee Chat, followed by an AGI Academic Happy Hour.

Join SGLang and Oracle Cloud Infrastructure (OCI) for an AI Infrastructure Meetup during ICML 2026!

The unofficial CVPR 2026 afterparty, co-hosted with Philo Labs, Reactor, and Crusoe! Themed around multimodal RL: reinforcement learning meeting VLMs, world models, and any-to-any (text/image/video/audio) generation.

SGLang, HOF Capital, Crusoe, Cloudflare, and Arklex AI had co-hosted for an evening of lightning talks and conversation with the people building inference systems for finance

Ant tech day with Ant Open Source and Inclusion AI discussed the infrastructure behind Agentic AI. Invited to talk about Miles framework and it's role in Agentic AI.

Celebrated MLSys with dinner + drinks at a restaurant near the MLSys conference venue in Bellevue!Co-hosted by RadixArk, SGLang, Essence, and Delta Institute

We co-hosted with Ai2 a happy hour for the open AI community during MLSys 2026 in Bellevue, sponsored by Crusoe and Doubleword, bringing together folks working on open models, infra, hardware, and applications.

A high-signal night with the NVIDIA developer community—built for developers pushing the limits of AI systems, inference, and scale. We will be speaking about Agentic inference with SGLang

Ran live labs for developers, builders, and researchers in Paris to get hands-on with LLM and diffusion inference on SGLang, plus a deep dive into end-to-end RL training with the Miles project.

dstack and Crusoe are hosting an AI infra & open-source models meetup after AMD Dev Day, bringing together GPU experts, AI researchers, and AI infra experts

Building Next-Gen AI Infrastructure: Scaling Enterprise LLM Serving and Training with RadixArk

Scaling LLM Serving with Ray and SGLang. We co-hosted with Anyscale to dig into how Ray powers large-scale LLM serving with SGLang.

Ollama hosted a meetup with Google DeepMind's Gemma team in Palo Alto, and we were invited to do a live demo of deploying Gemma 4 using SGLang.

Let's Talk Gemma 4: Architecture & How to Run It on SGLang. Khoa Pham, SGLang developer, broke down Gemma 4's architecture and how to run it with SGLang. We walked through how the model works, cover what it takes to support it in SGLang, share deployment tips across GB200, GB300, and AMD.

With SGLang, Qwen, MuleRun, Novita AI, Modal, and Doubleword covering everything from frontier models to inference, agents, and production infra.

LinkedIn x SGLang Meetup: Discover the Future of LLMs for Search and Recommendation,with deep discussion into how large-scale LLM systems are built, optimized, and deployed in real-world production environments.

SGLang x RadixArk. With great food, unlimited drinks, and a relaxed evening with some of the brightest minds in model, inference, and RL infrastructure.

Featuring core members from SGLang, Qwen, Alibaba Cloud's Tair KVCache team, and partners like NVIDIA and Mooncake, covering topics from SGLang's roadmap to low-latency LLM inference optimization and KVCache storage breakthroughs.

OH on SGLang-Diffusion. CloudRipple from OpenMOSS shared how they brought MoVA model support to SGLang-Diffusion. Xingyu from Skywork AI walked through the inference optimizations powering production-ready diffusion serving.

Our core dev speaker Qiaolin Yu shared SGLang’s key priorities, upcoming initiatives, and milestones for the quarter.

SGLang x Modal Office Hours: Deploying Big MoE Models, From Zero to Serving

SGLang x OpenAnolis Meetup in Beijing. Brought together frontline engineers to break down real, production-ready system designs.

Meetup with Modal, Qwen & SGLang. The evening explored how open tools deliver competitive performance and cost for LLM inference.

On NVIDIA AI’s Dynamo Day, our core developer, Baizhou, shared firsthand insights on large-scale AI inference with the Dynamo community.

Meetup with Ant Open Source. SGLang core member shared the latest progress and roadmap, and engaged in deep discussions on inference performance, system design, and real-world deployment.

A technical deep dive into SGLang’s vision-language model capabilities, covering architecture and implementation details.

With OpenCloudOS and AMD. Featured end-to-end system optimization, low-precision performance breakthroughs, and hands-on Triton kernel development.

With AtomGit. Talked about KV cache management, inference stalls during RL/agent weight updates, new demands of GLM/Mamba/MoE models and real-world performance on Ascend hardware

At Tsinghua PACMAN Lab, we presented the SGLang Diffusion roadmap. We reused proven LLM infrastructure with a redesigned diffusion pipeline to cut inference latency by up to ~57% on H100/H200.

With Baidu. Featured large-scale inference system optimization, distributed architectures, the latest SGLang ecosystem advances, plus an in-depth look at Baidu Baige’s inference acceleration for the DeepSeek V3 series.

With AMD and Moreh AI. Showcased SGLang’s core features, roadmap, and GPU optimizations, along with hands-on exploration of open-source LLM acceleration on AMD MI300X GPUs.

New tutorial introducing SGLang Diffusion, covering high-performance image and video generation workflows with multi-GPU acceleration, CFG parallelism, and hands-on demos using CLI and Python APIs.

SGLang x Atlas Cloud NeurIPS 2025 happy hour

SGLang x Atlas Cloud NeurIPS 2025 happy hour

SGLang x Volcengine x NVIDIA meetup, discussed framework updates, stability optimization, distributed KVCache acceleration, VLM and MoE inference, and efficient deployment on DGX Spark.

SGLang x Abaka AI co-hosted the EMNLP after-party, bringing together ML engineers, tech leads, and enthusiasts for conversations on AI infra, LLM agents, multimodality, and interpretability.

SGLang meetup with Meituan and AWS, brought together developers and researchers to discuss LLM inference, speculative decoding, quantization, and real-world SGLang deployments

SGLang x NVIDIA SF Meetup had incredible talks and discussions on LLM inference acceleration, distributed compute, and open infra, featuring amazing speakers from across the AI infra community.

SGLang x GOSIM Workshop, featuring deep-dive talks from core SGLang members on topics like efficient inference, PD disaggregation, and Ascend, alongside industry speakers from Qwen, NVIDIA, and Volcengine.

SGLang & AMD Meetup in San Francisco. We had a hands-on GPU workshop and talks from AMD, xAI, and the SGLang team on roadmap, MoE scaling, and inference optimization.