sglang

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

A Datacenter Scale Distributed Inference Serving Framework

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

OpenClaw-RL: Train any agent simply by talking

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

Control panel for VLLM, Sglang, llama.cpp, exllamav3

Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3

A SOTA quantization toolkit for high-accuracy low-bit LLM inference|简洁且高效的量化工具包

A multilingual model for long-form, multi-speaker dialogue synthesis with flexible speaker control and zero-shot voice cloning

Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond

LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

A foundation model that generates synchronized video and audio in a single model

SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.

UniRL is a Framework for Unified Multimodal Model Reinforcement Learning

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.

基于SparkTTS、OrpheusTTS等模型，提供高质量中文语音合成与声音克隆服务。

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.

Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton