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Explore additional resources to deepen your understanding of SGLang and connect with the community.

Official Resources

Documentation

Community

Join Slack

Connect with the community, ask questions, and get help

Weekly Dev Meetings

Join public development meetings every week

Follow on X

Stay updated with the latest news and announcements

LinkedIn

Professional updates and community highlights

Blog Posts and Articles

The latest SGLang features and updates are shared through the LMSYS blog:

Recent Highlights

  • Deterministic Inference: https://lmsys.org/blog/2025-09-22-sglang-deterministic/
    • Learn about SGLang’s deterministic inference mode for reproducible results
  • Performance Benchmarks: Regular updates on throughput and latency improvements
  • Model Support: Announcements when new models are supported
  • Feature Deep Dives: Technical details on major features like RadixAttention, speculative decoding, and more

Learning Materials

Curated Collection

A comprehensive collection of blogs, slides, and videos about SGLang is available at: github.com/sgl-project/sgl-learning-materials This repository includes:
  • Conference Talks: Presentations from major AI/ML conferences
  • Technical Deep Dives: Detailed explanations of SGLang internals
  • Tutorial Videos: Step-by-step guides for common use cases
  • Research Papers: Academic publications related to SGLang
  • Benchmark Reports: Performance analysis and comparisons

Video Tutorials

Look for SGLang presentations and tutorials on:
  • Conference recordings (MLSys, NeurIPS, etc.)
  • Community meetup recordings
  • Tutorial sessions from weekly dev meetings

Research and Publications

Academic Papers

SGLang is built on cutting-edge research:
  • RadixAttention: The innovative prefix caching mechanism
  • Speculative Decoding: Techniques for faster inference
  • Multi-Modal Processing: Efficient handling of vision and language
Check the sgl-learning-materials repository for links to papers.

Benchmarks

SGLang regularly publishes benchmarks comparing performance with other frameworks:
  • Throughput comparisons (tokens/second)
  • Latency measurements (TTFT, TPOT)
  • Memory efficiency analysis
  • Multi-GPU scaling results
See the Performance Dashboard for live results.

Contributing

How to Contribute

SGLang is an open-source project and welcomes contributions:

Contribution Guide

Learn how to contribute code, documentation, or bug reports

Development Guide

Set up your development environment

GitHub Issues

Report bugs or request features

Add Model Support

Help add support for new models

Areas to Contribute

  • Code: Implement new features, fix bugs, optimize performance
  • Documentation: Improve guides, add examples, fix typos
  • Testing: Write tests, report issues, validate releases
  • Models: Add support for new model architectures
  • Benchmarks: Run performance tests, share results
  • Community: Help others in Slack, write tutorials, give talks

Example Projects

Use Cases

See how others are using SGLang:
  • Chatbots and Assistants: Building conversational AI
  • Code Generation: AI-powered coding assistants
  • RAG Systems: Retrieval-augmented generation applications
  • Multi-Modal Apps: Vision-language applications
  • RL Training: Using SGLang for reinforcement learning

Sample Code

Explore example projects in the repository:
git clone https://github.com/sgl-project/sglang.git
cd sglang/examples
Examples include:
  • OpenAI-compatible client usage
  • Custom model integration
  • Multi-GPU deployment
  • Function calling and tool use
  • Streaming responses

Training and Workshops

Weekly Development Meetings

Join the weekly public development meetings:
  • When: Check meet.sglang.io for schedule
  • Format: Open discussion, demos, Q&A
  • Topics: Roadmap updates, feature demos, community presentations

Community Events

  • Office Hours: Regular sessions for community support
  • Workshops: Hands-on training sessions
  • Hackathons: Build with SGLang in collaborative events
Follow on X or LinkedIn for announcements.

Technical Support

Getting Help

Documentation

Search this documentation for guides and references

FAQ

Common questions and answers

Troubleshooting

Solutions to common problems

Slack Community

Ask questions and get community support

Professional Support

For enterprise users needing dedicated support:
  • Contact the team through the GitHub repository
  • Connect on LinkedIn
  • Inquire about consulting services

Stay Updated

Release Notes

Follow SGLang releases on GitHub: See our Migration Guide for upgrade instructions.

Newsletter

Stay informed about:
  • Major releases and features
  • Performance improvements
  • New model support
  • Community highlights
  • Upcoming events
Follow the LMSYS blog for regular updates.

Feedback and Suggestions

We Want to Hear From You

Your feedback helps make SGLang better:
  • Feature Requests: Submit on GitHub Issues
  • Bug Reports: Include detailed reproduction steps
  • Documentation Feedback: Suggest improvements or report errors
  • Performance Reports: Share your benchmarks and use cases
  • Success Stories: Tell us how you’re using SGLang

Community Guidelines

When participating in the community:
  • Be respectful and constructive
  • Help others when you can
  • Share knowledge and insights
  • Follow the code of conduct
  • Give credit where it’s due

Additional Resources

Server Arguments

Complete CLI reference

Environment Variables

Configuration options

Benchmarking Guide

Performance testing tools

Multi-Node Deployment

Scale to multiple machines

Welcome to the SGLang community! Whether you’re just getting started or building advanced applications, we’re here to help you succeed.