GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

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

Heterogeneous GPU Sharing on Kubernetes

Community maintained hardware plugin for vLLM on Ascend

cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台，算法全链路流程，多租户，算力租赁平台，token中转，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务，VGPU虚拟化，云边端协同，边缘计算，自动化标注平台，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库llmops智能体，AI模型市场，支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等，支持ib/roce/RDMA，信创支持

一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Ascend PyTorch adapter (torch_npu). Mirror of https://gitcode.com/Ascend/pytorch

an edge-real-time anchor-free object detector with decent performance

Persist and reuse KV Cache to speedup your LLM.

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用，支持GPU，NPU加速。

An interactive Ascend-NPU process viewer

Triton adapter for Ascend. Mirror of https://gitcode.com/ascend/triton-ascend

Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..

A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.实时流媒体及深度学习推理加速通用处理框架，支持H264、H265、AAC、MP4、FLV、RTSP、RTMP、YOLO。

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

A 2D point'n'click-like adventure game written in Qt/QML and Javascript

YOLOv5 om model inference program on the Huawei Ascend platform

华为集合通信性能测试

The repository provides docs & api & tutorials & FAQ and all things like that.