Access to GPUs is not enabled by default for all tenants. Please raise an issue to the support portal or contact support@europeanweather.cloud to request access if you wish to use them.

The current pilot infrastructure at ECMWF features 2x5 NVIDIA Tesla V100 cards targeting Machine Learning workloads.

How to provision a GPU-enabled instance

Once your tenant is granted access to the GPUs, creating a new VM with access to a virtual GPU is very straightforward. Follow the process on Provision a new instance - web paying special attention on the Configuration Step:

  1. On the Library screen, choose CentOS. Ubuntu is currently not supported
  2. On Layout, select the item with "-gpu" suffix
  3. On Plan, pick one of the plans with the "gpu" suffix, depending on how much resources are needed, including the amount of GPU memory:
    1. 8cpu-4gbmem-20gbdisk-4gbgpu
    2. 8cpu-8gbmem-20gbdisk-4gbgpu
    3. 8cpu-32gbmem-40gbdisk-8gbgpu
    4. 16cpu-32gbmem-80gbdisk-16gbgpu
  4. Finish the process normally

Once your instance is running, you can check wether your instance can see the GPU with:

$> nvidia-smi
Tue Nov 17 15:20:38 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.87       Driver Version: 440.87       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  GRID V100-4C        On   | 00000000:00:05.0 Off |                    0 |
| N/A   N/A    P0    N/A /  N/A |    304MiB /  4096MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+


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