# vcuda-controller **Repository Path**: moxi_moxi/vcuda-controller ## Basic Information - **Project Name**: vcuda-controller - **Description**: 腾讯 vcuda , controller 部分 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2022-03-19 - **Last Updated**: 2024-10-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # vcuda-controller [![Build Status](https://travis-ci.org/tkestack/vcuda-controller.svg?branch=master)](https://travis-ci.org/tkestack/vcuda-controller) [![Total alerts](https://img.shields.io/lgtm/alerts/g/tkestack/vcuda-controller.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/tkestack/vcuda-controller/alerts/) [![Language grade: C/C++](https://img.shields.io/lgtm/grade/cpp/g/tkestack/vcuda-controller.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/tkestack/vcuda-controller/context:cpp) This project is a wrapper of NVIDIA driver library, it's a component of [gpu-manager](https://github.com/tkestack/gpu-manager) which makes Kubernetes can not only run more than one Pod on the same GPU, but also give QoS guaranteed to each Pod. For more details, please refer to our paper [here](https://ieeexplore.ieee.org/abstract/document/8672318). ## Build ``` IMAGE_FILE= ./build-img.sh ``` ## CUDA/GPU support information CUDA 11.5.1 and before are supported Any architecture of GPU after Kepler are supported