What are actual Tesla M60 models used by AWS?
12
Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.
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 the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?
amazon-web-services graphics-processing-unit nvidia
asked Mar 12 at 0:26
hanshans
1637
add a comment |
12
Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.
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 the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?
amazon-web-services graphics-processing-unit nvidia
asked Mar 12 at 0:26
hanshans
1637
add a comment |
12
12
12
Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.
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 the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?
amazon-web-services graphics-processing-unit nvidia
asked Mar 12 at 0:26
hanshans
1637
Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.
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 the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?
amazon-web-services graphics-processing-unit nvidia
amazon-web-services graphics-processing-unit nvidia
asked Mar 12 at 0:26
hanshans
1637
asked Mar 12 at 0:26
hanshans
1637
edited Mar 12 at 13:10
hans
asked Mar 12 at 0:26
hanshans
1637
asked Mar 12 at 0:26
hanshans
1637
asked Mar 12 at 0:26
hanshans
1637
1637
add a comment |
add a comment |
1 Answer
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18
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
add a comment |
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1 Answer
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1 Answer
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18
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
add a comment |
18
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
add a comment |
18
18
18
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
edited Mar 12 at 15:37
Robin Whittleton
1033
edited Mar 12 at 15:37
Robin Whittleton
1033
edited Mar 12 at 15:37
Robin Whittleton
1033
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
answered Mar 12 at 0:44
Michael Hampton♦Michael Hampton
172k27316642
172k27316642
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
add a comment |
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.
– hans
Mar 12 at 15:46
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
@hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.
– Michael Hampton♦
Mar 12 at 15:47
add a comment |
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