SGLang is a fast and flexible framework for serving large language models with advanced API support.
Last Updated Oct 21, 2026
About
SGLang is an advanced framework designed for efficiently building and deploying large language model applications. It offers a clean, intuitive interface backed by robust backend support, helping developers quickly implement complex language processing tasks whether for research or production environments.
Key Features
Flexible API design with support for multiple language model backends
Automated prompt engineering and optimization tools
High-performance inference and scalable deployment solutions
Rich example code and pre-built templates
Real-time interactive debugging and analysis capabilities
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- Open-source: SGLang is a free, open-source serving framework, so users incur no license fees for the software itself.
- Installation: Available via pip or Docker, with stable and nightly builds and support for multiple CUDA versions.
- Platform availability: Runs on NVIDIA GPUs, AMD GPUs, Google TPU, CPU servers, Ascend NPUs, and XPU.
- API access: Provides OpenAI-compatible endpoints for querying served models.
Who It's For
This framework is well suited for natural language processing engineers, AI application developers, and researchers. Whether you want to quickly prototype and validate an idea or need to build high-concurrency, production-grade services, SGLang provides the right level of support.
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