SGLang Documentation

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SGLang is a high-performance serving framework for large language models and multimodal models. It is designed to deliver low-latency and high-throughput inference across a wide range of setups, from a single GPU to large distributed clusters. Its core features include:

• Fast Runtime: Provides efficient serving with RadixAttention for prefix caching, a zero-overhead CPU scheduler, prefill-decode disaggregation, speculative decoding, continuous batching, paged attention, tensor/pipeline/expert/data parallelism, structured outputs, chunked prefill, quantization (FP4/FP8/INT4/AWQ/GPTQ), and multi-LoRA batching.
• Broad Model Support: Supports a wide range of language models (Llama, Qwen, DeepSeek, Kimi, GLM, GPT, Gemma, Mistral, etc.), embedding models (e5-mistral, gte, mcdse), reward models (Skywork), and diffusion models (WAN, Qwen-Image), with easy extensibility for adding new models. Compatible with most Hugging Face models and OpenAI APIs.
• Extensive Hardware Support: Runs on NVIDIA GPUs (GB200/B300/H100/A100/Spark/5090), AMD GPUs (MI355/MI300), Intel Xeon CPUs, Google TPUs, Ascend NPUs, and more.
• Active Community: SGLang is open-source and supported by a vibrant community with widespread industry adoption, powering over 400,000 GPUs worldwide.
• RL & Post-Training Backbone: SGLang is a proven rollout backend used for training many frontier models, with native RL integrations and adoption by well-known post-training frameworks such as AReaL, Miles, slime, Tunix, verl and more.

.. toctree:: :maxdepth: 1 :caption: Get Started

get_started/install.md

.. toctree:: :maxdepth: 1 :caption: Basic Usage

basic_usage/send_request.ipynb basic_usage/openai_api.rst basic_usage/ollama_api.md basic_usage/offline_engine_api.ipynb basic_usage/native_api.ipynb basic_usage/sampling_params.md basic_usage/popular_model_usage.rst

.. toctree:: :maxdepth: 1 :caption: Advanced Features

advanced_features/server_arguments.md advanced_features/object_storage.md advanced_features/hyperparameter_tuning.md advanced_features/attention_backend.md advanced_features/speculative_decoding.ipynb advanced_features/adaptive_speculative_decoding.md advanced_features/structured_outputs.ipynb advanced_features/structured_outputs_for_reasoning_models.ipynb advanced_features/tool_parser.ipynb advanced_features/separate_reasoning.ipynb advanced_features/quantization.md advanced_features/quantized_kv_cache.md advanced_features/expert_parallelism.md advanced_features/dp_dpa_smg_guide.md advanced_features/lora.ipynb advanced_features/pd_disaggregation.md advanced_features/epd_disaggregation.md advanced_features/pipeline_parallelism.md advanced_features/hicache.rst advanced_features/pd_multiplexing.md advanced_features/vlm_query.ipynb advanced_features/dp_for_multi_modal_encoder.md advanced_features/cuda_graph_for_multi_modal_encoder.md advanced_features/piecewise_cuda_graph.md advanced_features/breakable_cuda_graph.md advanced_features/sgl_model_gateway.md advanced_features/deterministic_inference.md advanced_features/observability.md advanced_features/checkpoint_engine.md advanced_features/sglang_for_rl.md

.. toctree:: :maxdepth: 2 :caption: Supported Models

supported_models/text_generation/index supported_models/retrieval_ranking/index supported_models/specialized/index supported_models/extending/index

.. toctree:: :maxdepth: 2 :caption: SGLang Diffusion

diffusion/index diffusion/installation diffusion/compatibility_matrix diffusion/api/cli diffusion/api/openai_api diffusion/performance/index diffusion/performance/ring_sp_performance diffusion/performance/attention_backends diffusion/performance/cache/index diffusion/quantization diffusion/contributing

.. toctree:: :maxdepth: 1 :caption: Hardware Platforms

platforms/amd_gpu.md platforms/cpu_server.md platforms/tpu.md platforms/nvidia_jetson.md platforms/ascend/ascend_npu_support.rst platforms/xpu.md

.. toctree:: :maxdepth: 1 :caption: Developer Guide

developer_guide/contribution_guide.md developer_guide/development_guide_using_docker.md developer_guide/development_jit_kernel_guide.md developer_guide/benchmark_and_profiling.md developer_guide/bench_serving.md developer_guide/evaluating_new_models.md

.. toctree:: :maxdepth: 1 :caption: References

references/faq.md references/environment_variables.md references/production_metrics.md references/production_request_trace.md references/multi_node_deployment/multi_node_index.rst references/custom_chat_template.md references/frontend/frontend_index.rst references/post_training_integration.md references/release_lookup references/learn_more.md

.. toctree:: :maxdepth: 1 :caption: Security Acknowledgement

security/acknowledgements.md