Name: SGLang: An Efficient Open-Source Framework for Large-Scale LLM Serving - Liangsheng Yin, Shanghai Jiao Tong University / LMSYS
Start: 2025-06-07T16:40:00+0800
End: 2025-06-07T17:00:00+0800

In-person | 2025 June 7
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Saturday June 7, 2025 16:40 - 17:00 CST

TBA

SGLang is an open-source Large Language Model (LLM) inference system that is highly efficient and widely adopted by many companies like xAI, Nvidia and AMD. In this session, I will introduce some key features of SGLang, including the design and implementation of PD disaggregation, large-scale expert parallelism and data parallelism for DeepSeek models, hierarchical KV cache offloading, and highly efficient speculative decoding. I will also share some insights into the future development of the SGLang community.

Speakers

Liangsheng Yin

Undergraduate in Shanghai Jiao Tong University / Member in LMSYS, Shanghai Jiao Tong University / LMSYS

He is an undergraduate student at Shanghai Jiao Tong University and one of the earliest core developers of SGLang, a popular open-source inference engine with 15K+ GitHub stars and 20K+ monthly downloads. SGLang is used by xAI (Grok 3), Microsoft Azure (DeepSeek R1), NVIDIA, AMD... Read More →

Saturday June 7, 2025 16:40 - 17:00 CST
TBA

Session Presentation

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PyTorch Day China 2025

Liangsheng Yin

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