SGLang

Introduction to SGLang

SGLang is a fast serving framework designed for large language models (LLMs) and vision language models. It enhances interaction with models by co-designing the backend runtime and frontend language, making it faster and more controllable.

Key Features:

• Fast Backend Runtime: Efficient serving with advanced techniques like RadixAttention, zero-overhead CPU scheduling, and continuous batching.
• Flexible Frontend Language: Intuitive interface for programming LLM applications, supporting advanced prompting, control flow, and multi-modal inputs.
• Extensive Model Support: Compatibility with a wide range of generative and embedding models, allowing easy integration of new models.
• Active Community: Open-source project backed by a vibrant community and industry adoption, ensuring continuous improvement and support.

Benefits:

• High Performance: Deployed in large-scale production, generating trillions of tokens daily.
• Enterprise Ready: Offers technical consulting and partnership opportunities for large-scale deployments.
• Community Driven: Contributions from a diverse group of developers and institutions, fostering innovation and collaboration.

Highlights:

• Supported by major institutions like AMD, NVIDIA, and Stanford.
• Regular updates and improvements, with a clear development roadmap for future enhancements.