Several RTX 2080 cards are available within the cluster, mostly on hypervisors named beginning with gpu-a.
To quickly start using an instance with a GPU attached, you can start with our images and flavors.
openstack server create --image 18.04-GPU --flavor gpu.large --boot-from-volume=32 --config-drive=true --user-data=/path/to/your/cloud-init.yml --network campus37 nslurm-01 --wait
SSH to your instance, which automatically has a GPU attached. Our image does not have CUDA installed, so it is recommended that you install it via cloud-init, or manually. Follow instructions at Cuda Downloads
apt-get purge nvidia*; apt autoremove wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600 apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /" apt-get -y install cuda apt-get -y install cuda nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.64.00 Driver Version: 440.64.00 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce RTX 2080 Off | 00000000:00:06.0 Off | N/A | | 69% 72C P0 38W / 215W | 0MiB / 7982MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+