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Nouveaux projets AI sur GitHub

Découvrez les nouveaux projets AI open source ajoutés sur GitHub, avec les informations du dépôt, les instructions de configuration, les licences et les ressources associées.

Données du dépôt public

Index du projet

41 Projets
Inférence, déploiement et exécution

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
Inférence, déploiement et exécution

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
Inférence, déploiement et exécution

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
Agents et multi-agents

dstack

dstackai/dstack

A vendor-agnostic control plane for provisioning and orchestrating training, inference, development, and agentic workloads across GPU clouds, Kubernetes, and on-premises infrastructure.

★ 2,2K⑂ 249Python
MPL-2.0Q98
Inférence, déploiement et exécution

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
Inférence, déploiement et exécution

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
Capture d’écran de memra
Inférence, déploiement et exécution

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.

★ 314⑂ 35Rust
MITQ92
Capture d’écran de hal0
Inférence, déploiement et exécution

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.

★ 68⑂ 7Python
Apache-2.0Q89
Capture d’écran de Qwen3-Coder — Code-focused language models
LLM et modèles de fondation

Qwen3-Coder — Code-focused language models

QwenLM/Qwen3-Coder

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team

★ 16,8K⑂ 1,2KPython
Licence non détectéeQ82

Page 3 / 4 · 41 projets

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