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CUDA 7.5 on AWS GPU Instance Running Ubuntu 14.04

Launch stock Ubuntu AMI

  • Launch ami-d05e75b8
  • Choose a GPU instance type: g2.2xlarge or g2.8xlarge
  • Increase the size of the storage (this depends on what else you plan to install, I’d suggest at least 20 GB)

SSH in

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$ ssh ubuntu@<instance ip>

Install CUDA repository

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$ wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb $ sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb

Update APT

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$ sudo apt-get update $ sudo apt-get upgrade -y $ sudo apt-get install -y opencl-headers build-essential protobuf-compiler \  libprotoc-dev libboost-all-dev libleveldb-dev hdf5-tools libhdf5-serial-dev \  libopencv-core-dev libopencv-highgui-dev libsnappy-dev libsnappy1 \  libatlas-base-dev cmake libstdc++6-4.8-dbg libgoogle-glog0 libgoogle-glog-dev \  libgflags-dev liblmdb-dev git python-pip gfortran

You will get a dialog regarding the menu.lst file, just choose the default option it gives you.

Do some cleanup:

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$ sudo apt-get clean

DRM module workaround

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$ sudo apt-get install -y linux-image-extra-`uname -r` linux-headers-`uname -r` linux-image-`uname -r`

For an explanation of why this is needed, see Caffe on EC2 Ubuntu 14.04 Cuda 7 and search for this command.

Install CUDA

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$ sudo apt-get install -y cuda $ sudo apt-get clean

Verify CUDA

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$ nvidia-smi

You should see:

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+------------------------------------------------------+ | NVIDIA-SMI 352.63 Driver Version: 352.63 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GRID K520 Off | 0000:00:03.0 Off | N/A | | N/A 30C P0 36W / 125W | 11MiB / 4095MiB | 0% Default | +-------------------------------+----------------------+----------------------+  +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+

Make sure kernel module and devices are present:

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ubuntu@ip-10-33-135-228:~$ lsmod | grep -i nvidia nvidia 8642880 0 drm 303102 1 nvidia ubuntu@ip-10-33-135-228:~$ ls -alh /dev | grep -i nvidia crw-rw-rw- 1 root root 195, 0 Nov 23 01:59 nvidia0 crw-rw-rw- 1 root root 195, 255 Nov 23 01:58 nvidiactl

References

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