SGLang is a high-performance serving framework for large language models and multimodal models.
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SGLang is a high-performance serving framework for large language models and multimodal models.
SGLang kernel library for NPU
Optimized SGLang runtime for Qwen3.8-27B FP8 with DFlash2 and Qwen3.8 Flash-Next NVFP4 with FR-Spec on one NVIDIA RTX PRO 6000 Blackwell 96 GB GPU (SM120): 524K context, HiCache and NIXL.
Qwen3.8 27B on SGLang for DGX Spark
Lsglang is a special extension of sglang that fully utilizes CPU and GPU computing resources with an efficient GPU parallel + NUMA parallel architecture, suitable for MOE model hybrid inference.
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
分享AI Infra知识&代码练习:PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
Control panel for VLLM, Sglang, llama.cpp, exllamav3
High-performance KV cache storage for LLM inference — GPU offloading, SSD caching, and cross-node sharing via RDMA. Works with vLLM and SGLang.
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
We've moved to SGLang Omni Voxt: https://github.com/sgl-project/sglang-omni/tree/main/Voxt
Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, sglang, llama.cpp and other custom engines) and model-agnostic. Currently shipping Qwen3.8-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1×/2×/4x/8x cards.
QuantumFlow - Distributed LLM inference scheduling framework with multi-backend support (vLLM, TGI, SGLang), adaptive scheduling strategies, and cluster management.
A tiny single-file coding agent for self-hosted models (llama.cpp / vLLM / SGLang).
AxisRL is an agentic RL post-training framework built on SGLang rollout, Megatron training, and real-world agent workflows.
A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.
Local-first engineering agent that deploys, benchmarks and tunes vLLM/SGLang inference services on your own GPUs, with auditable run evidence.
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
OmniStudio 是一个本地大模型一体化桌面工作台,集模型市集下载、llama.cpp/vLLM/SGLang 三引擎推理管理,以及对话、语音合成、ASR语音识别、图片生成、视频生成、OCR 等多种大模型应用于一体,全程本地优先。