hans asked:
Wikipedia says that Tesla M60 has 2×8 GB RAM (whatever it means) and TDP 225–300.
I use an EC2 instance g3s.xlarge which is supposed to have a Tesla M60. But nvidia-smi command says it has 8GB ram and max power limit 150W:
> sudo nvidia-smi
Tue Mar 12 00:13:10 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| 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 M60 On | 00000000:00:1E.0 Off | 0 |
| N/A 43C P0 37W / 150W | 7373MiB / 7618MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 6779 C python 7362MiB |
+-----------------------------------------------------------------------------+
What does it mean? Do I get a ‘half’ of the card? Is Tesla M60 actually two cards sticked together as the ram specification (2×8) suggest?
My answer:
Yes, the Tesla M60 is two GPUs ‘sticked’ together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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