SGLang (24 articles)

SGLang Empowers Diffusion Large Models: LLaDA 2.0 Now Supported

SGLang introduces a seamless integration framework for Diffusion Large Language Models (dLLMs), enabling LLaDA 2.0 support through existing ChunkedPrefill mechanisms without core architecture changes, while maintaining full performance benefits and allowing customizable diffusion decoding algorithms.

EPD Disaggregation in SGLang: Elastic Encoder Scaling for Vision-Language Models

SGLang introduces Encoder-Prefill-Decode (EPD) disaggregation architecture that separates vision encoding from language processing in VLMs, enabling independent scaling and significantly reducing TTFT by 6-8x in image-intensive scenarios.

Deploying 1TB Models on a Single H200: End-to-End INT4 QAT RL Practice

The SGLang RL team achieves major breakthroughs in RL training stability and efficiency, implementing end-to-end INT4 QAT that enables ~1TB model deployment on a single H200 GPU while maintaining training-inference consistency.

SGLang Optimizes GLM4-MoE Production Deployment: 65% TTFT Improvement

Novita AI developed production-proven optimizations for deploying GLM4-MoE models on SGLang, achieving up to 65% TTFT reduction and 22% TPOT improvement through Shared Experts Fusion and Suffix Decoding techniques.