All Projects → dkozlov → ansible-nvidia

dkozlov / ansible-nvidia

Licence: MIT license
No description or website provided.

Projects that are alternatives of or similar to ansible-nvidia

docker-ce docker-compose nvidia-docker2
脚本离线安装支持 NVIDIA GPU 的 Docker 套装
Stars: ✭ 29 (-9.37%)
Mutual labels:  nvidia-docker, docker-ce
fahclient
Dockerized Folding@home client with NVIDIA GPU support to help battle COVID-19
Stars: ✭ 38 (+18.75%)
Mutual labels:  nvidia-docker, nvidia-cuda
debian-setup
neurite.github.io/debian-setup
Stars: ✭ 27 (-15.62%)
Mutual labels:  nvidia-cuda
Nvidia Docker
Build and run Docker containers leveraging NVIDIA GPUs
Stars: ✭ 13,961 (+43528.13%)
Mutual labels:  nvidia-docker
pixel-decoder
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
Stars: ✭ 68 (+112.5%)
Mutual labels:  nvidia-docker
cuda-toolkit
GitHub Action to install CUDA
Stars: ✭ 34 (+6.25%)
Mutual labels:  nvidia-cuda
docker-nvidia-glx-desktop
MATE Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X server, therefore not requiring /tmp/.X11-unix host sockets or host configuration.
Stars: ✭ 47 (+46.88%)
Mutual labels:  nvidia-docker
docker-ipk
This repo contains static linked binaries of docker ce packed in linux ipk format.
Stars: ✭ 25 (-21.87%)
Mutual labels:  docker-ce
mavenized-jcuda
Mavenized JCuda, please use version available in Maven Central
Stars: ✭ 52 (+62.5%)
Mutual labels:  nvidia-cuda
mpu
A shim driver allows in-docker nvidia-smi showing correct process list without modify anything
Stars: ✭ 27 (-15.62%)
Mutual labels:  nvidia-docker
GPU-Jupyterhub
Setting up a Jupyterhub Dockercontainer to spawn Jupyter Notebooks with GPU support (containing Tensorflow, Pytorch and Keras)
Stars: ✭ 23 (-28.12%)
Mutual labels:  nvidia-docker
handbrake-nvenc-docker
Handbrake GUI with Web browser and VNC access. Supports NVENC encoding
Stars: ✭ 32 (+0%)
Mutual labels:  nvidia-docker
restful-yolo
RESTful Web Service and C++ compilable version of YOLO written in C and CUDA for object detection.
Stars: ✭ 19 (-40.62%)
Mutual labels:  nvidia-docker
ngc-container-replicator
NGC Container Replicator
Stars: ✭ 19 (-40.62%)
Mutual labels:  nvidia-docker
2D3D-TI-FD-RTM-cuda
这是一个基于NVIDIA cuda的开源程序,其中包括了二维和三维VTI介质正演模拟和逆时偏移成像,二维TTI介质逆时偏移成像,以及以上介质的ADCIGs提取[translation: This is an open source program based on NVIDIA cuda, which includes two-dimensional and three-dimensional VTI media forward simulation and reverse time migration imaging, two-dimensional TTI media reverse time migration imaging, and ADCIGs extraction of …
Stars: ✭ 26 (-18.75%)
Mutual labels:  nvidia-cuda
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Stars: ✭ 3,293 (+10190.63%)
Mutual labels:  nvidia-docker
ansible-role-docker-ce
Ansible role to install Docker CE on AlmaLinux/Rocky/CentOS/Fedora/RHEL(Redhat)/Ubuntu/Debian/Mint/Raspbian
Stars: ✭ 73 (+128.13%)
Mutual labels:  docker-ce
folding-at-home
A Folding@Home Docker container with GPU support
Stars: ✭ 38 (+18.75%)
Mutual labels:  nvidia-docker
VTI-FD-CUDA-GTK
NVIDIA-based GPU Accelerated Finite Difference Forward Seismic Simulation of VTI Media]
Stars: ✭ 19 (-40.62%)
Mutual labels:  nvidia-cuda
lc0-docker
lc0docker: run lc0 chess client and lichess bot under Docker and Kubernetes
Stars: ✭ 26 (-18.75%)
Mutual labels:  nvidia-docker

ansible-nvidia

ansible roles to install docker-ce, graphics drivers, cuda, cudnn and nvidia-docker

How-to run

  • Install ansible
sudo pip3 install ansible
  • Create hosts file in current directory
$ cat hosts
[gpus:vars]
ansible_python_interpreter=/usr/bin/python3

[gpus]
#192.168.1.2
  • Use locally available ssh keys to authorise logins on a remote machine
ssh-copy-id  [email protected]
  • Run playbook
ansible-playbook gpus.yml
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].