SGLang
SGLang is a domain-specific language and runtime system designed specifically for efficient execution of large language model (LLM) inference workloads. It provides optimized abstractions for prompt composition, parallel execution, and memory management tailored to LLM serving scenarios. The system enables developers to write complex LLM applications with better performance and lower latency compared to general-purpose frameworks.
Companies need SGLang now because as LLM applications move from experimentation to production, inference efficiency directly impacts operational costs and user experience. With the trend toward real-time AI applications and multi-modal models requiring complex prompting patterns, specialized runtime systems like SGLang can reduce latency by 2-5x while improving throughput. This is critical for companies deploying AI at scale where infrastructure costs and response times determine competitive advantage.
🎓 Courses
Introduction to Large Language Models
Offered by Google Cloud. This is an introductory level micro-learning course that explores what large language models (LLM) are, the use</stro
High-Performance LLM Serving and Training with SGLang
NVIDIA GTC 2026 training lab on optimizing and scaling LLM workflows with SGLang
📖 Books
LLM Engineer's Handbook
Paul Iusztin · 2024
Covers LLM serving infrastructure including SGLang and vLLM for production deployment
🛠️ Tutorials & Guides
SGLang Step by Step Beginner Tutorial
GitHub - https://github.com/sgl-project/sglangDiscord (my online institute of open source AI research) - https://discord.gg/6AbXGpKTw
DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Right after Christmas, the Chinese Whale Bros ended 2024 by dropping the last big model launch of the year: DeepSeek v3. This is a massive 671 billion
Control LLM Output with SGL - SGLang with GPT
This video introduces SGL in a hands-on demo with OpenAI. SGLang is a structured generation language designed for large language models (LLMs). It mak
How-To Use Any Transformers Model with SGLang Easily
This video is a step-by-step tutorial to install and use SGLang with Transformers locally.🔥 Buy Me a Coffee to support the channel: https://ko-fi.com/
Lecture 35: SGLang
Speaker: Yineng ZhangSGLang Performance OptimizationI. CPU Overlap OptimizationII. FlashInfer Hopper Optimization and IntegrationIII. TurboMind GEMM O
SGLang Office Hour Recap: Vision-Language Models (VLM) — Dec 29, 2025
In this video, Xinyuan Tong from the SGLang community hosts the Office Hour focused on Vision-Language Models (VLM). We explore why SGLang is a top ch
@DailyDoseOfDS_: Learn how LLM inference actually works
Visual guide to LLM inference serving including SGLang techniques
Mini-SGLang: Efficient Inference Engine in a Nutshell
Educational 5K-line framework for learning modern LLM serving internals, used in university lab courses
Learning resources last updated: March 17, 2026