A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
An evidence-preserving Chinese-to-English manuscript translation and review workflow for computing, medicine and other STEM disciplines.
SGLang is a high-performance serving framework for large language models and multimodal models.
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
SGLang-Omni is a high-performance serving runtime for interactive intelligence model systems.
A framework for efficient model inference with omni-modality models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Native vLLM serving for Jev decision models
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.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
Community maintained hardware plugin for vLLM on Huawei Ascend
在保留版面、公式与结构的前提下进行 PDF 翻译,适用于科研与技术文档
Open Source AI Accelerator Research Platform Standard / 开源推理研究平台
high-performance inference and serving library for interactive autoregressive video and world models
lithos-metal: high-performance LLM inference kernels and serving for Apple silicon.
Low-latency collective transport and distributed LLM serving stack for switchless GB10 clusters.
Tuned TP4 serving profile for DeepSeek-V4.1-Flash on 4x NVIDIA DGX Spark (SGLang, DSpark), built on the MiaAI-Lab recipe
Simple ComfyUI nodes for MiniMax H3: exact output resolution, multi-reference images, single-pass generation, optional resolution-preserving detail refine.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
Radically simplified static file serving for Python web apps
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
The simplest way to serve AI/ML models in production
Python package for earth-observing satellite data processing
Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Works with Claude Code, Codex, opencode and pi.
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
Training PyTorch models with differential privacy
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
The backend agents build with - Multimodal database, orchestration, and serving in one file
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
Nintendo Switch library manager, with automated management tasks, serving your library to multiple supported clients on your Switch, with shop customization and multi user authentication.
GPU-accelerated homomorphic encryption in Python: Paillier and BFV, with encrypted nearest-neighbour search. Experimental research code.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Local-first creator favorites workbench with evidence-preserving Markdown capture and a complete browser UI.
Style-preserving TOML library for Python
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
Instruction-based, identity-preserving image editing for Krea 2 in ComfyUI — nodes + workflows for the Krea 2 Identity Edit LoRA
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
Hand-written NVFP4 W4A16 CUDA kernels for Volta
Model-agnostic Chinese and English academic editing for the latest models across Agent platforms. Reduce formulaic prose while preserving evidence and author voice.
Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA toolchains, KV allocation, eval harnesses, versioning. Symptom-first, with the check that catches each.
Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
The fastest way to run Qwen3.8 27B on Strix Halo (gfx1151)
FACET synthesizes coherent and verifiable terminal tasks from reusable agent skills by preserving source intent and grounding all artifacts in a shared executable state.