SGLang - 高效服务大型语言模型与视觉语言模型的框架

Summary

SGLang is an open-source framework built to enable fast and efficient serving of large language models and vision language models, focusing on optimizing inference speed and throughput.

Problem Solved

Serving large language and vision models efficiently and at scale is computationally expensive and challenging, often leading to high latency and operational costs. SGLang addresses this by providing a high-performance serving framework tailored for these models.

Core Features

Tech Stack