Just recently got to know that it’s possible to leverage CUDA and cuDNN inside Docker.
Basically what is needed is corresponding Docker image that can be found here installation of Nvidia Docker runtime and to configure Docker daemon to use nvidia as a default runtime in /etc/docker/daemon.json. as it was described here and bellow there is an example of my config:
Last month or so was really excited and full of different and important moments.
First of all, I become a father, my son was born 12 May, he is just amazing.
What else, well there was a chain of conferences/meetups I was speaking at and here are some links :
Here is my version of Docker container to run SonarQube with set of plugins to enable code quality analysis for Java based projects .
To use it you can pull Docker container:
docker pull webdizz/sonarqube-plugins:latest
There is also a Fig example to run SonarQube that you can check out from my Github repository https://github.com/webdizz/docker-sonarqube-plugins
While discovering internet for answers to my questions regarding Service Discovery, Monitoring, Scheduling with Docker for production deployments I found nice resource to get some thoughts regarding this, here it is http://progrium.com/blog/