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user3177140
user3177140

Reputation: 31

Utilizing the two devices in a Tesla K80 on AWS p2 instances

I use a p2 instance on AWS, that is supposed to have a Tesla K80 gpu, with two GK210 GPUs inside it (https://blogs.nvidia.com/blog/2014/11/18/tesla-k80-perf/).

According to the following post from Nvidia forums, I should be able to see and access each of the two devices separately (https://devtalk.nvidia.com/default/topic/995255/using-tesla-k80-as-two-tesla-k40/?offset=4).

However, when I run nvidia-smi on the p2 instance, I only see one device:

[ec2-user@ip-172-31-34-73 caffe]$ nvidia-smi
Wed Feb 22 12:20:51 2017
+------------------------------------------------------+
| NVIDIA-SMI 352.99     Driver Version: 352.99         |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla K80           On   | 0000:00:1E.0     Off |                    0 |
| N/A   34C    P8    31W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

How can I monitor and access the 2 devices?

Upvotes: 2

Views: 810

Answers (1)

Robert Crovella
Robert Crovella

Reputation: 152123

The actual situation with a p2.xlarge instance is that you have 1/2 of a K80 assigned to that VM, so your nvidia-smi output here is expected, and you will not be able to access 2 GPU devices from that VM/instance type.

Upvotes: 4

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