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Inferensi, Deployment & Runtime · Proyek AI sumber terbuka di GitHub

Indeks berbasis fakta untuk proyek pengembangan LLM, agen, MCP, RAG, dan AI, dengan lisensi, pengaturan, unduhan, tangkapan layar, dan sumber daya terkait untuk setiap entri.

Data repositori publik

Indeks proyek

10 Proyek
Tangkapan layar Hugging Face Transformers
Inferensi, 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
Tangkapan layar Xorbits Inference (Xinference)
Inferensi, 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
Inferensi, 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
Inferensi, 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
Inferensi, 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
Inferensi, 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
Inferensi, 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
Inferensi, Deployment & Runtime

xLLM: High-Performance Inference Engine for Diverse AI Accelerators

xllm-ai/xllm

xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.

★ 1,5K⑂ 279C++
Apache-2.0Q98
Tangkapan layar memra
Inferensi, Deployment & Runtime

memra

avifenesh/memra

A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.

★ 312⑂ 35Rust
MITQ92
Tangkapan layar hal0
Inferensi, Deployment & Runtime

hal0

hal0ai/hal0

An open-source, self-hosted home AI inference platform designed to turn a Linux box into an OpenAI-compatible inference appliance, with native optimization for AMD Strix Halo hardware.

★ 67⑂ 7Python
Apache-2.0Q89

Baru diperbarui

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