Now Docker is expanding its horizons with the announcement of beta versions of Docker for Windows and Docker for Mac–native Docker applications designed to run on the most popular desktop operating systems. NVIDIA Research Revolutionizes Game and Movie Creation. July 14, 2016 559. Review: Lenovo Yoga 900S. March 2, 2015 437. Mar 21, 2018 - Looking for an answer to this question leads me to the nvidia-docker repository, described in a concise and effective way as: Build and run.

If your Mac has an Internet connection and has an AirPort Card installed and an Ethernet port, you can share the Mac’s Internet connection with your Xbox 360 console. This article describes how to use your Mac instead of a router to connect your Xbox 360 console to Xbox Live. How to use mac book as speaker for xbox 360 free. LineIn should let you use your set your Audio port to passthrough to your built-in speakers. You may need to go into System Preferences Sound and 'change Use audio port for ' to Sound Input. Alternatively you could create an aggregate audio device using 'Audio MIDI Setup.' Audio MIDI Setup can be found in Applications, Utilities.

Regan's answer is great, but it's a bit out of date, since the correct way to do this is avoid the lxc execution context as Docker has as the default execution context as of docker 0.9. Instead it's better to tell docker about the nvidia devices via the --device flag, and just use the native execution context rather than lxc. Environment These instructions were tested on the following environment: • Ubuntu 14.04 • CUDA 6.5 • AWS GPU instance. Install nvidia driver and cuda on your host See to get your host machine setup. Install Docker $ sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D78F9A8BA88D21E9 $ sudo sh -c 'echo deb docker main > /etc/apt/sources.list.d/docker.list' $ sudo apt-get update && sudo apt-get install lxc-docker Find your nvidia devices ls -la /dev grep nvidia crw-rw-rw- 1 root root 195, 0 Oct 25 19:37 nvidia0 crw-rw-rw- 1 root root 195, 255 Oct 25 19:37 nvidiactl crw-rw-rw- 1 root root 251, 0 Oct 25 19:37 nvidia-uvm Run Docker container with nvidia driver pre-installed I've created a that has the cuda drivers pre-installed. The is available on dockerhub if you want to know how this image was built. You'll want to customize this command to match your nvidia devices.

Here's what worked for me: $ sudo docker run -ti --device /dev/nvidia0:/dev/nvidia0 --device /dev/nvidiactl:/dev/nvidiactl --device /dev/nvidia-uvm:/dev/nvidia-uvm tleyden5iwx/ubuntu-cuda /bin/bash Verify CUDA is correctly installed This should be run from inside the docker container you just launched. Install CUDA samples: $ cd /opt/nvidia_installers $./cuda-samples-linux-6.5.5.run -noprompt -cudaprefix=/usr/local/cuda-6.5/ Build deviceQuery sample: $ cd /usr/local/cuda/samples/1_Utilities/deviceQuery $ make $./deviceQuery If everything worked, you should see the following output: deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GRID K520 Result = PASS. I have CUDA 5.5 on the host and CUDA 6.5 in a container created from your image. CUDA is working on the host, and I passed the devices to the container. The container sees the GPUs through ls -la /dev grep nvidia but CUDA can't find any CUDA-capable device:./deviceQuery./deviceQuery Starting. CUDA Device Query (Runtime API) version (CUDART static linking) cudaGetDeviceCount returned 38 -> no CUDA-capable device is detected Result = FAIL Is it because of the mismatch of the CUDA libs on the host and in the container? – Dec 17 '14 at 17:27 •.

Ok i finally managed to do it without using the --privileged mode. I'm running on ubuntu server 14.04 and i'm using the latest cuda (6.0.37 for linux 13.04 64 bits). Preparation Install nvidia driver and cuda on your host. (it can be a little tricky so i will suggest you follow this guide ) ATTENTION: It's really important that you keep the files you used for the host cuda installation Get the Docker Daemon to run using lxc We need to run docker daemon using lxc driver to be able to modify the configuration and give the container access to the device. One time utilization: sudo service docker stop sudo docker -d -e lxc Permanent configuration Modify your docker configuration file located in /etc/default/docker Change the line DOCKER_OPTS by adding '-e lxc' Here is my line after modification DOCKER_OPTS='--dns 8.8.8.8 --dns 8.8.4.4 -e lxc' Then restart the daemon using sudo service docker restart How to check if the daemon effectively use lxc driver?

Docker info The Execution Driver line should look like that: Execution Driver: lxc-1.0.5 Build your image with the NVIDIA and CUDA driver. Here is a basic Dockerfile to build a CUDA compatible image. FROM ubuntu:14.04 MAINTAINER Regan RUN apt-get update && apt-get install -y build-essential RUN apt-get --purge remove -y nvidia* ADD./Downloads/nvidia_installers /tmp/nvidia > Get the install files you used to install CUDA and the NVIDIA drivers on your host RUN /tmp/nvidia/NVIDIA-Linux-x86_64-331.62.run -s -N --no-kernel-module > Install the driver. RUN rm -rf /tmp/selfgz7 > For some reason the driver installer left temp files when used during a docker build (i don't have any explanation why) and the CUDA installer will fail if there still there so we delete them. RUN /tmp/nvidia/cuda-linux64-rel-6.0.2.run -noprompt > CUDA driver installer. RUN /tmp/nvidia/cuda-samples-linux-6.0.2.run -noprompt -cudaprefix=/usr/local/cuda-6.0 > CUDA samples comment if you don't want them.