Model faster in GeForce GTX 1060 6 GB compared to Google cloud K80 12 GB, missing something?

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raghu

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Aug 14, 2017, 7:46:34 AM8/14/17

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Hi ,
A typical resnet, model forward is taking 31ms for 0.2 data points in my home 6gb pc, but the same model forward is taking 51 ms for the same data on GCP k80 12GB. I am confused, missing something.

These are the stats while model is training on k80 gpu;

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.51                 Driver Version: 375.51                    |
|-------------------------------+----------------------+----------------------+
| 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   | 0000:00:04.0     Off |                    0 |
| N/A   40C    P0   107W / 149W |    644MiB / 11439MiB |     85%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
| GPU       PID Type Process name                               Usage      |
|=============================================================================|
|    0      3957    C   /usr/local/torch/install/bin/luajit            642MiB |
+-----------------------------------------------------------------------------+

It's hardly using any memory. Any thoughts?

Thanks

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