install nvidia cuda drivers ubuntu 16.04

#INSTALL NVIDIA CUDA DRIVERS UBUNTU 16.04 INSTALL#
#INSTALL NVIDIA CUDA DRIVERS UBUNTU 16.04 DRIVER#
#INSTALL NVIDIA CUDA DRIVERS UBUNTU 16.04 PROFESSIONAL#

| 0 GeForce GT 730 Off | 0000:02:08.Quadro was Nvidia's brand for graphics cards intended for use in workstations running professional computer-aided design (CAD), computer-generated imagery (CGI), digital content creation (DCC) applications, scientific calculations and machine learning.ĭifferences between the Quadro and GeForce cards include the use of ECC memory and enhanced floating point precision. Which adds them both as they are exactly the same model in my setup.īut for such cases, you can also select using the card’s PCI ID with: lxc config device add cuda gpu gpu pci=0000:02:08.0 You can also specify the GPU by vendorid and productid: lspci -nnn | grep NVIDIAĠ2:06.0 VGA compatible controller : NVIDIA Corporation GK208 (rev a1)Ġ2:07.0 Audio device : NVIDIA Corporation GK208 HDMI/DP Audio Controller (rev a1)Ġ2:08.0 VGA compatible controller : NVIDIA Corporation GK208 (rev a1)Ġ2:09.0 Audio device : NVIDIA Corporation GK208 HDMI/DP Audio Controller (rev lxc config device add cuda gpu gpu vendorid=10de productid=1287 | 0 Not Supported lxc config device remove cuda gpu Now just pass whichever is the first GPU: lxc config device add cuda gpu gpu id=0 | 1 Not Supported lxc config device remove cuda gpu LXD allows for pretty specific GPU passthrough, the details can be found here.įirst let’s start with the most generic one, just allow access to all GPUs: lxc config device add cuda gpu gpuĭevice gpu added to lxc exec cuda - nvidia-smi Which is expected as LXD hasn’t been told to pass any GPU yet.

#INSTALL NVIDIA CUDA DRIVERS UBUNTU 16.04 DRIVER#

Make sure that the latest NVIDIA driver is installed and running. NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver.

#INSTALL NVIDIA CUDA DRIVERS UBUNTU 16.04 INSTALL#

Lxc exec cuda - apt install cuda-demo-suite-8-0 -no-install-recommendsĪt which point, you can run: lxc exec cuda - nvidia-smi Then install the CUDA demo tools in there: lxc exec cuda - wget Results may vary when GPU Boost is enabled.įirst lets just create a regular Ubuntu 16.04 container: lxc launch ubuntu:16.04 cuda NOTE: The CUDA Samples are not meant for performance measurements. |=|Īnd can check that the CUDA tools work properly with: /usr/local/cuda-8.0/extras/demo_suite/bandwidthTest | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. After that, you should be able to confirm that your NVidia GPU is properly working with: nvidia-smi Then reboot the system to make sure everything is properly setup. Install the CUDA tools and drivers on the host: wget

Those are very cheap, low performance GPUs, that have the advantage of existing in low-profile PCI cards that fit fine in one of my servers and don’t require extra power.įor production CUDA workloads, you’ll want something much better than this. The test system used below is a virtual machine with two NVidia GT 730 cards attached to it. NVidia is just what I happen to have around. This post focuses on NVidia and the CUDA toolkit specifically, but LXD’s passthrough feature should work with all other GPUs too. With containers, rather than passing a raw PCI device and have the container deal with it (which it can’t), we instead have the host setup with all needed drivers and only pass the resulting device nodes to the container. LXD supports GPU passthrough but this is implemented in a very different way than what you would expect from a virtual machine.

Install nvidia cuda drivers ubuntu 16.04