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Inference, Deployment & Runtime · Open-source AI Projects on GitHub

A fact-based index of LLM, agent, MCP, RAG and AI development projects, with license, setup, download, screenshots and related resources for each entry.

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Project index

24 projects
Screenshot of Hugging Face Transformers
Inference, Deployment & Runtime

Hugging Face Transformers

huggingface/transformers

A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal domains, supporting both inference and training.

★ 163.3K⑂ 34.1KPython
Apache-2.0Q98
Inference, Deployment & Runtime

vllm

vllm-project/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 89.5K⑂ 21KPython
Apache-2.0Q98
Inference, Deployment & Runtime

sglang

sgl-project/sglang

SGLang is a high-performance serving framework for large language models and multimodal models.

★ 32.2K⑂ 8.1KPython
Apache-2.0Q98
Inference, Deployment & Runtime

OpenVINO

openvinotoolkit/openvino

Open-source toolkit for optimizing and deploying AI inference across edge-to-cloud environments.

★ 10.6K⑂ 3.3KC++
Apache-2.0Q98
Screenshot of Xorbits Inference (Xinference)
Inference, Deployment & Runtime

Xorbits Inference (Xinference)

xorbitsai/inference

A powerful and versatile library designed to serve language, speech recognition, and multimodal models. It allows users to swap GPT for any LLM by changing a single line of code and run models on cloud, on-prem, or locally via a unified, production-ready inference API.

★ 9.5K⑂ 853Python
Apache-2.0Q98
Inference, Deployment & Runtime

Mooncake: KVCache-Centric Infrastructure for Distributed LLM Serving

kvcache-ai/mooncake

Mooncake is a C++ infrastructure project for large-scale LLM inference and training. It separates prefill, decode, and storage resources while providing high-performance transfer, distributed KV-cache storage, and fault-tolerant expert-parallel communication.

★ 6.1K⑂ 1KC++
Apache-2.0Q98
Inference, Deployment & Runtime

GPUStack

gpustack/gpustack

GPUStack is an open-source GPU cluster manager for serving AI models and provisioning on-demand, SSH-accessible GPU instances. It orchestrates inference engines including vLLM, SGLang, and TensorRT-LLM across on-premises, Kubernetes, and cloud environments.

★ 5.4K⑂ 604Python
Apache-2.0Q98
Inference, Deployment & Runtime

llm-d: Distributed LLM Inference on Kubernetes

llm-d/llm-d

llm-d is an open-source serving stack that adds distributed orchestration, routing, cache management, autoscaling, and batch processing around model servers such as vLLM and SGLang. It targets high-scale production inference on Kubernetes and modern hardware accelerators.

★ 4K⑂ 649Shell
Apache-2.0Q98
Inference, Deployment & Runtime

FastDeploy

PaddlePaddle/FastDeploy

High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle

★ 3.7K⑂ 755Python
Apache-2.0Q98
Inference, Deployment & Runtime

vLLM Ascend

vllm-project/vllm-ascend

A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.

★ 2.7K⑂ 2.1KC++
Apache-2.0Q98
Inference, Deployment & Runtime

any-llm: A Unified Python Interface for LLM Providers

mozilla-ai/any-llm

any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.

★ 2.2K⑂ 211Python
Apache-2.0Q98
Inference, Deployment & Runtime

llmgateway

theopenco/llmgateway

Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.

★ 1.6K⑂ 172TypeScript
NOASSERTIONQ98

Page 1 / 2 · 24 projects

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