Update docs (#13391)

Co-authored-by: sglang-bot <sglangbot@gmail.com>
This commit is contained in:
Lianmin Zheng
2025-11-16 19:36:33 -08:00
committed by GitHub
co-authored by sglang-bot
parent 2a5773440e
commit 7e626d12b7
20 changed files with 115 additions and 190 deletions
+3 -9
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@@ -6,10 +6,10 @@ It is designed to deliver low-latency and high-throughput inference across a wid
Its core features include:
- **Fast Backend 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.
- **Extensive Model Support**: Supports a wide range of generative models (Llama, Qwen, DeepSeek, Kimi, GLM, GPT, Gemma, Mistral, etc.), embedding models (e5-mistral, gte, mcdse), and reward models (Skywork), with easy extensibility for integrating new models. Compatible with most Hugging Face models and OpenAI APIs.
- **Extensive Model Support**: Supports a wide range of generative 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 integrating new models. Compatible with most Hugging Face models and OpenAI APIs.
- **Extensive Hardware Support**: Runs on NVIDIA GPUs (GB200/B300/H100/A100/Spark), AMD GPUs (MI355/MI300), Intel Xeon CPUs, Google TPUs, Ascend NPUs, and more.
- **Flexible Frontend Language**: Offers an intuitive interface for programming LLM applications, supporting chained generation calls, advanced prompting, control flow, multi-modal inputs, parallelism, and external interactions.
- **Active Community**: SGLang is open-source and supported by a vibrant community with widespread industry adoption, powering over 300,000 GPUs worldwide.
- **Active Community**: SGLang is open-source and supported by a vibrant community with widespread industry adoption, powering over 400,000 GPUs worldwide.
.. toctree::
:maxdepth: 1
@@ -26,12 +26,7 @@ Its core features include:
basic_usage/offline_engine_api.ipynb
basic_usage/native_api.ipynb
basic_usage/sampling_params.md
basic_usage/deepseek.md
basic_usage/deepseek_v32.md
basic_usage/gpt_oss.md
basic_usage/llama4.md
basic_usage/qwen3.md
basic_usage/qwen3_vl.md
basic_usage/popular_model_usage.rst
.. toctree::
:maxdepth: 1
@@ -74,7 +69,6 @@ Its core features include:
:caption: Hardware Platforms
platforms/amd_gpu.md
platforms/blackwell_gpu.md
platforms/cpu_server.md
platforms/tpu.md
platforms/nvidia_jetson.md